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Get Back Rewatch 55 Years On: Day Two
Paul and Ringo cabaret duo au NOW!
Their collective bitter humor about the fan mag. I think George probably appreciates Paul getting into this sort of shit with him. Even if it is only on a surface-level. A reminder that the Beatles fame journey (something that's been hellish at times for George, enough to give him PTSD and other issues for the rest of his life) has not left Paul unscathed. That Paul actually does have feelings, however buried they may be.
Could even be that the appreciation comes out in the form of "I think your beard suits you. Man." Does the tacked-on 'man' mean a sort of "no homo" type qualifier? Or is it just an added endearment. I know we don't think of George as particularly inhibited, but it was the sixties. And of course Paul loves the compliment and has no idea what to do with it.
Can you all please thank Mal as he hands you your tea next time? Not that hard, guys.
Ringo's voice is so sexy. And I love how supportive Paul and George are of this very stupid song. If either of them had written it, they'd tear it to shreds, but it's Ringo, so we laugh along and enthuse about the sentiments behind the lyrics.
The communal bitching about EMI's treatment of them. As they should.
Oh goodness, it's the "Paul has an embarrassing crush" moment from that iconic post of @jeremy-hillary-boob He totally does and you should say it. "I never used to know what it meant". It's giving "girl pretends not to know how to hold her golf club so the hot guy will touch her".
I have a theory that some of their covers ~matter~ and "What do you want to make those eyes at me for?" Is the first one for me.
Okay this look right here that John is giving Paul? Not to, like, out myself as never having experienced pure love except from my own child or anything, but the only other place I've ever seen that look is on my one-year-old's face when I come get him from his nap. So ... "A lovely little baby, John was"
"If this boy dies, you're gonna cop it." Peak older brother behavior. He's joking, but he's also deadly serious.
In love with John trying to sing out of his range. He's trying so hard, you guys.
"Everybody had a hard year. 'well, I'm not sure, actually. Put [good year]." Same, John. Isn't it always that way? Hard. And good. He's such a genius lyricist. He just captures the human condition with such specificity.
Lol at Paul correcting John on the key of his own song (yeah, yeah, gimme some truth is secretly a colab but it's still a John song)
When they put a piano in front of Paul and John's instantly like "uh-oh, red-alert my beautiful boyfriend might not get captured perfectly from every angle" vs a year and a half later when he's bitching about Paul having too much screen-time in Let it Be. Well, you were part of the problem, babe.
I love George's way of teaching his songs. Whereas Paul was shouting key changes and counts between phrases, and John doesn't even bother to give any of that information, George is just softly singing "E, to F sharp minor. E to A." Beautiful. John and Paul, take notes.
Wonder if I'll get through a day without calling Paul a whore. Probably not.
John being instantly self-effacing after suggesting that genius little let's enhancement. "My mind can blow those clouds away" is actually much more original and thought-provoking, but John just makes fun of himself. Like. Just own it. You're John fucking Lennon!
The George/Paul convo (George talking, Paul hardly flinching) is so painful actually. Because from the outside, Paul's avoidance looks so condescending and unfeeling, but avoidance feels much more like 'Shit fuck shit dodge the fight, go around, don't react, don't engage, don't start something' and i really feel for both of them.
Let John do Help for gosh sakes!
"Not bad though. Good try, that. Johnny."
The part where Paul is looking just so exhausted, and he's actually letting it show, and then he sees the camera on him and hurries and tries to do a cheeky little Beatles head-shake and smile. But then he's really just too tired (and high) and he looks away and rubs his eyes. It was like watching an old circus bear. Those poor things.
And of course John's head snapping up like a little gopher when Paul says his name
#get back#the beatles#paul mccartney#ringo starr#george harrison#john lennon#mclennon#mal evans#Yes I will continue to just take pictures of my screen like an eighty year old woman#Yes I am sorry about the length. They're probably just going to be like that...
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Olá!👋 Por esse link você recebe 5% de desconto no site!
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FRUTADOS:
1 - LF - clone do juice lava flow da naked. Mix de morango, abacaxi, côco e creme.
R$ 30 - 70\30
R$ 55 - 60\40 com 25mg de salt
R$ 65 - 60\40 com 35mg de salt
R$ 80 - 60\40 com 50mg de salt
2 - LFi - Versão ice do mesmo.
R$ 32 - 70\30
R$ 57 - 60\40 com 25mg de salt
R$ 67 - 60\40 com 35mg de salt
R$ 82 - 60\40 com 50mg de salt
3 - SKP - clone do fruit monster strawberry kiwi pomegranate, mix de morango kiwi e romã.
R$ 31 - 70\30
R$ 56 - 60\40 com 25mg de salt
R$ 66 - 60\40 com 35mg de salt
R$ 81 - 60\40 com 50mg de salt
4 - SKPi - Versão ice do mesmo.
R$ 33 - 70\30
R$ 58 - 60\40 com 25mg de salt
R$ 68 - 60\40 com 35mg de salt
R$ 83 - 60\40 com 50mg de salt
5 – TQ V2 – clone do juice trap queen v2- mix de morangos com toque de menta e ice
R$ 35 - 70\30
R$ 60 - 60\40 com 25mg de salt
R$ 70 - 60\40 com 35mg de salt
R$ 85 - 60\40 com 50mg de salt
6 - MMi - clone do ruthless ez dut it on ice, mix de morangos e melancias com um toque ice.
R$ 42 - 70\30
R$ 67 - 60\40 com 25mg de salt
R$ 77 - 60\40 com 35mg de salt
R$ 92 - 60\40 com 50mg de salt
7 - WM – mix de melão e melancia
R$ 37 - 70\30
R$ 62 - 60\40 com 25mg de salt
R$ 72 - 60\40 com 35mg de salt
R$ 87 - 60\40 com 50mg de salt
8 - WMi - Versão ice do mesmo.
R$ 39 - 70\30
R$ 64 - 60\40 com 25mg de salt
R$ 74 - 60\40 com 35mg de salt
R$ 89 - 60\40 com 50mg de salt
9 - SM – Sweet mango, manga, manga e mais manga
R$ 40 – 70\30
R$ 65 – 60\40 com 25mg de salt
R$ 75 – 60\40 com 35mg de salt
R$ 90 - 60\40 com 50mg de salt
10 - SMi – Sweet mango ice, versão ice do mesmo
R$ 42 – 70\30
R$ 67 – 60\40 com 25mg de salt
R$ 77 – 60\40 com 35mg de salt
R$ 92 - 60\40 com 50mg de salt
11 - GA - Green Apple, mix de maçãs tendendo a maçã verde.
R$ 34 - 70\30
R$ 59 - 60\40 com 25mg de salt
R$ 69 - 60\40 com 35mg de salt
R$ 84 - 60\40 com 50mg de salt
12 - GAi - Versão ice do mesmo.
R$ 36 - 70\30
R$ 61 - 60\40 com 25mg de salt
R$ 71 - 60\40 com 35mg de salt
R$ 86 - 60\40 com 50mg de salt
13 – Grapezin – uva, uva e mais uva, com toque ice
R$ 37 - 70\30
R$ 62 - 60\40 com 25mg de salt
R$ 72 - 60\40 com 35mg de salt
R$ 87 - 60\40 com 50mg de salt
14 - CU - Chiclete de uva
R$ 37 - 70\30
R$ 62 - 60\40 com 25mg de salt
R$ 72 - 60\40 com 35mg de salt
R$ 87 - 60\40 com 50mg de salt
15 - CUi - Versão ice do mesmo.
R$ 39 - 70\30
R$ 64 - 60\40 com 25mg de salt
R$ 74 - 60\40 com 35mg de salt
R$ 89 - 60\40 com 50mg de salt
16 – Bad Blood – mix de mirtilo e romã
R$ 33 - 70\30
R$ 58 - 60\40 com 25mg de salt
R$ 68 - 60\40 com 35mg de salt
R$ 83 - 60\40 com 50mg de salt
17 – Bad Blood ice – versão ice do mesmo
R$ 35 - 70\30
R$ 60 - 60\40 com 25mg de salt
R$ 70 - 60\40 com 35mg de salt
R$ 85 - 60\40 com 50mg de salt
18 – Coconut geladin – côco gelado
R$ 33 - 70\30
R$ 58 - 60\40 com 25mg de salt
R$ 68 - 60\40 com 35mg de salt
R$ 83 - 60\40 com 50mg de salt
19 – Mango nectarius – manga com nectarina ice
R$ 36 - 70\30
R$ 61 - 60\40 com 25mg de salt
R$ 71 - 60\40 com 35mg de salt
R$ 86 - 60\40 com 50mg de salt
20 – Pachamama – maçã, nectarina e morango
R$ 38 - 70\30
R$ 63 - 60\40 com 25mg de salt
R$ 73 - 60\40 com 35mg de salt
R$ 88 - 60\40 com 50mg de salt
21 – pachamama ice – versão ice do mesmo
R$ 40 - 70\30
R$
65 - 60\40 com 25mg de salt
R$ 75 - 60\40 com 35mg de salt
R$ 90 - 60\40 com 50mg de salt
22 – Cactus lemon lime – limões e mais limões com ice
R$ 34 - 70\30
R$ 59 - 60\40 com 25mg de salt
R$ 69 - 60\40 com 35mg de salt
R$ 84 - 60\40 com 50mg de salt
SOBREMESAS:
23 – MY – morning yogurt – clone do juice de mesmo nome da marca dream colabs, mix de mamão, banana, morango, maçã e yogurte.
R$ 36 - 70\30
R$ 61 - 60\40 com 25mg de salt
R$ 71 - 60\40 com 35mg de salt
R$ 86 - 60\40 com 50mg de salt
24 – EG – Era do gelo, receita que faz referencia ao filme, leite e avelã, do gênio incompreendido Florindo
R$ 24 – 70\30
R$ 49 – 60\40 com 25mg de salt
R$ 59 – 60\40 com 35mg de salt
R$ 74 - 60\40 com 50mg de salt
25 – UM - unicorn milk, uma deliciosa receita de sobremesa de morango.
R$ 44 - 70\30
R$ 69 - 60\40 com 25mg de salt
R$ 79 - 60\40 com 35mg de salt
R$ 94 - 60\40 com 50mg de salt
26 - DLLT - clone do Dinner Lady Lemon Tart, um dos melhores clones da famosa torta de limão, inclusive com o “ame-o ou deixe-o”
R$ 39 - 70\30
R$ 64 - 60\40 com 25mg de salt
R$ 74 - 60\40 com 35mg de salt
R$ 89 - 60\40 com 50mg de salt
27 – Yes, we strawberry cheesecake – cheesecake de morango
R$ 37 - 70\30
R$ 62 - 60\40 com 25mg de salt
R$ 72 - 60\40 com 35mg de salt
R$ 87 - 60\40 com 50mg de salt
28 - Golden ticket remix v6 – chocolate, merengue e baunilha
R$ 29 - 70\30
R$ 54 - 60\40 com 25mg de salt
R$ 64 - 60\40 com 35mg de salt
R$ 79 - 60\40 com 50mg de salt
MENTOLADOS:
29 - TM - trident de menta, receita clone do sabor do chiclete, fortíssimo
R$ 26 - 70\30
R$ 51 - 60\40 com 25mg de salt
R$ 61 - 60\40 com 35mg de salt
R$ 76 - 60\40 com 50mg de salt
30 – Trident Azul – Hortelã-pimenta, menta e chiclete
R$ 27 - 70\30
R$ 52 - 60\40 com 25mg de salt
R$ 62 - 60\40 com 35mg de salt
R$ 77 - 60\40 com 50mg de salt
ATABACADOS:
31 - TRI - clone do juice halo tribeca, atabacado doce tendendo a sobremesa
R$ 38 - 70\30
R$ 63 - 60\40 com 25mg de salt
R$ 73 - 60\40 com 35mg de salt
R$ 88 - 60\40 com 50mg de salt
32 - CAP - capone com avelã, atabacado bem presente com toque de avelã.
R$ 38 - 70\30
R$ 63 - 60\40 com 25mg de salt
R$ 73 - 60\40 com 35mg de salt
R$ 88 - 60\40 com 50mg de salt
33 – APM – atabacado para macho – tendendo ao cigarro palheiro, fortíssimo.
R$ 31 - 70\30
R$ 56 - 60\40 com 25mg de salt
R$ 66 - 60\40 com 35mg de salt
R$ 81 - 60\40 com 50mg de salt
34 – Red light – tabaco tendendo a uma cigarrilha
R$ 34 - 70\30
R$ 59 - 60\40 com 25mg de salt
R$ 69 - 60\40 com 35mg de salt
R$ 84 - 60\40 com 50mg de salt
35 – Turked aged Bourbon – tabaco com whisky
R$ 27 - 70\30
R$ 52 - 60\40 com 25mg de salt
R$ 62 - 60\40 com 35mg de salt
R$ 77 - 60\40 com 50mg de salt
36 – Take five remix v4 - clone do famoso e desejado juice da radiola de mesmo nome, caramelo e biscoito com tabaco. Muito mais essência que o da leva passada.
R$ 37 - 70\30
R$ 62 - 60\40 com 25mg de salt
R$ 72 - 60\40 com 35mg de salt
R$ 87 - 60\40 com 50mg de salt
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How To Extract Food Data From Google Maps With Google Colab & Python?
Do you want a comprehensive list of restaurants with reviews and locations every time you visit a new place or go on vacation? Sure you do, because it makes your life so much easier. Data scraping is the most convenient method.
Web scraping, also known as data scraping, is the process of transferring information from a website to a local network. The result is in the form of spreadsheets. So you can get a whole list of restaurants in your area with addresses and ratings in one simple spreadsheet! In this blog, you will learn how to use Python and Google Colab to Extract food data From Google Maps.
WWe are scraping restaurant and food data using Python 3 scripts since installing Python can be pretty handy. We use Google Colab to run the proofreading script since it allows us to run Python scripts on the server.
As our objective is to get a detailed listing of locations, extracting Google Maps data is an ideal solution. Using Google Maps data scraping, you can scrape data like name, area, location, place types, ratings, phone numbers, and other applicable information. For startups, we can utilize a places data scraping API. A places Scraping API makes that very easy to scrape location data.
Step 1: What information would you need?
For example, here we are searching for "restaurants near me" in Sanur, Bali, within 1 kilometer. So the criteria could be "restaurants," "Sanur Beach," and "1 mile."Let us convert this into Python:
These "keywords" help us find places categorized as restaurants OR results that contain the term "restaurant." A comprehensive list of sites whose names and types both have the word "restaurant" is better than using "type" or "name" of places.
For example, we can make reservations at Se'i Sapi and Sushi Tei at the same time. If we use the term "name," we will only see places whose names contain the word "restaurant." If we use the word "type," we get areas whose type is "restaurant." However, using "keywords" has the disadvantage that data cleaning takes longer.
Step 2: Create some necessary libraries, like:
Create some necessary modules, such as:
The "files imported from google. colab" did you notice? Yes, to open or save data in Google Colab, we need to use google. colab library.
Step 3: Create a piece of code that generates data based on the first Step's variables.
With this code, we get the location's name, longitude, latitude, IDs, ratings, and area for each keyword and coordinate. Suppose there are 40 locales near Sanur; Google will output the results on two pages. If there are 55 results, there are three pages. Since Google only shows 20 entries per page, we need to specify the 'next page token' to retrieve the following page data.
The maximum number of data points we retrieve is 60, which is Google's policy. For example, within one kilometer of our starting point, there are 140 restaurants. This means that only 60 of the 140 restaurants will be created.
So, to avoid inconsistencies, we need to get both the radius and the coordinates right. Ensure that the diameter is not too large so that "only 60 points are created, although there are many of them". Also, ensure the radius is manageable, as this would result in a long list of coordinates. Neither can be efficient, so we need to capture the context of a location earlier.
Continue reading the blog to learn more how to extract data from Google Maps using Python.
Step 4: Store information on the user's computer
Final Step: To integrate all these procedures into a complete code:
You can now quickly download data from various Google Colab files. To download data, select "Files" after clicking the arrow button in the left pane!
Your data will be scraped and exported in CSV format, ready for visualization with all the tools you know! This can be Tableau, Python, R, etc. Here we used Kepler.gl for visualization, a powerful WebGL-enabled web tool for geographic diagnostic visualizations.
The data is displayed in the spreadsheet as follows:
In the Kepler.gl map, it is shown as follows:
From our location, lounging on Sanur beach, there are 59 nearby eateries. Now we can explore our neighborhood cuisine by adding names and reviews to a map!
Conclusion:
Food data extraction using Google Maps, Python, and Google Colab can be an efficient and cost-effective way to obtain necessary information for studies, analysis, or business purposes. However, it is important to follow Google Maps' terms of service and use the data ethically and legally. However, you should be aware of limitations and issues, such as managing web-based applications, dealing with CAPTCHA, and avoiding Google blocking.
Are you looking for an expert Food Data Scraping service provider? Contact us today! Visit the Food Data Scrape website and get more information about Food Data Scraping and Mobile Grocery App Scraping.
Know more : https://www.fooddatascrape.com/how-to-extract-food-data-from-google-maps-with-google-colab-python.php
#Extract Food Data From Google Maps#extracting Google Maps data#Google Maps data scraping#Food data extraction using Google Maps
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Kaduna Technology City Film Village Comes To Life
Kaduna Technology City Film Village Comes To Life
Kaduna Technology City Film Village Comes To Life
In commemoration of Kaduna State turning 55 years since its creation, The @GovKaduna, Mallam Nasir @elrufai today commissioned two projects; the CoLab Innovation Campus, which is also the first tech space within the new Kaduna Technology City in Barnawa.
#KadunaAt55
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We are all cats by Elebea
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COLAGEM DIGITAL: Dua Lipa - New Rules.
Por: Laís Morais.
♡ Instagram | Pinterest ♡
#new rules#dua lipa#dua lipa new rules#poster dua lipa#colab 55#artes#arte#colagem digital#colagens#dua lipa poster
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Letícia a gente tem o equivalente do rebubble ou do site da sua lojinha no br? não sei se existe, eu quero mt comprar 🥺
Amr eu posso colocar na vandal ou na colab 55 qual vc quer
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Get Back Rewatch 55 Years On: Day Seven
Okay if anyone is super well-versed in the whole northern songs drama, I would LOVE your insights. I haven’t really looked into it, so all I know is they lost it right before the divorce meeting. What happened? What the hell is this? -- “Which includes Paul and John,” “Just about.” “What does that mean?” “No comment.”
The scouse getting thicker and thicker after “Carolina moOOn?” What can I say? I’m a sucker for it.
Paul’s absolute sugar-cookie heart-eyes when George walks in and then Ringo’s high-pitched “Hi Georgie!” Guys. Tone it down! I know you love him. But you just saw him yesterday, and you’ll see him again tomorrow. Oh wait . . . is today the day he quits?
John. If you look at your boyfriend like that while he’s being an attention-whore, he’s going to keep being an attention whore. So just. You know. Keep in mind what you’re encouraging here.
OMG they’re KISSING! (Live George reaction)
Paul. If you give your boyfriend what he wants while he’s being an attention-whore, he’s going to keep being an attention whore. So just. You know. Keep in mind what you’re encouraging here. (but literally, John just becomes a maniac, dancing and shouting, the MOMENT Paul goes to talk to George, and Paul’s instantly like “George, what george?”)
This Paul/George fight is, boiled down, literally just Paul being paranoid and anal and George trying to reassure him. “It’s not passe, it’s just a chord . . . yeah, but some drainies suit different occasions.”
“You need Eric Clapton.” “You need George Harrison.” John wasn’t here to be cute when George walked in, so he’s making up for it now.
“If you vamp, then it takes away from his vamping.” He says to the lead guitarist. Rolling my eyes so hard right now. See, the problem is, Paul loves George. But he’s IN love with John.
Literally, a montage of them raw-dogging it on the ground would be less gay than this insanity.
Poor baby. I would’ve quit a long time ago. Good for you.
I love John’s angsty guitar and torn-up vocals post-george.
And the minute her number one hater is gone, my girl gets on a mic! Way to be, honestly. And here’s the thing. Paul and Ringo (and obviously John) love it! There should’ve been a Beatles-Ono colab on a helter-skelter type track. Would’ve killed.
Paul swinging around on that scaffolding and me doing cartwheels in the bathroom between LSAT sections. ADHD besties!
John when George quits: “If he doesn’t come back by Tuesday we get Clapton in” (which he obviously doesn’t fully mean) VS John’s reaction when Paul misses one session: sprinting down the road and climbing a wall and screaming at him
Yoko sure does know how to cater to a fearful-anxious attachment. “John, John, John, Joooooooohhhhhhhnnnn!”
Literally Mo, marry me immediately! My kingdom for a kiss! She’s literally soo beyond gorgeous, I’m dying. Okay sorry I’ll be done now.
Men are the WORST! But who is making her laugh like that? Ringo? Is she looking off in the direction of the band? I can’t tell.
Another rare Paul feminist moment! Woop! “A7, D7, G7. Get ‘em off over the weekend and you’re in.”
“So, cats and kittens. What we gonna do?” . . . “Catch up! Cats and kittens. Don’t get left behind.” ???? There have got to be so many secret jabs on RAM for John to hate it so much that we just don’t understand. Is this one of them? Was this a saying of theirs?
Okay, good job. Now that the band is here, Mo isn’t being fucking mean-girled out of the circle. Also, Ringo sits by his wife, John by his girlfriend, and Paul by his daddy. As they should.
“The maresey beat awords for the best coople of the yeeuh.” Everyone studiously ignoring him. He’s so embarrassing.
I really really love Mo, though. Like I know I’m biased because she’s pretty, but her cute little “Yes!” when Paul jokingly suggests they do it at the cavern. She loved those days. The fact that she’s an og? God bless her, literally.
“Location isn’t really our main problem at the moment.” George Martin. “It’s breathing, actually.” said in the most casual voice possible but meant with the most wounded heart. Gosh, that one hurt. And then look how George Martin looks at him. His best boy is going through it.
The huggle! Ringo initiates it with Paul, of course, turning to him and gently gripping both biceps as he forces deep, direct eye contact. But then as Ringo’s pulling away, Paul leans into him and holds him there, talking. And as Ringo’s nodding, he looks to John, who basically pounces on both of them, head bowed, arms aggressive, pulling them all in, tighter, tighter until it’s a three-way head-bonk. Ringo’s hand at John’s waist now, and Paul’s fucking iron talons clenching desperately around his bicep. But still, John manages to pull away from Paul’s grip as Yoko inserts herself between them where, really, she decidedly does Not belong. It’s got to be the most painful non-hug ever recorded on camera. Nobody knows what anyone wants, let alone how to give it to them.
Why did the gayest one also have to be the saddest one though? I guess the Lord gives his hardest battles to his gayest soldiers, smh
#Very image-heavy this time#Pictures just spoke louder than words I guess#paul mccartney#the beatles#john lennon#mclennon#ringo starr#george harrison#get back
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DecisionTree
Decision tree analysis was performed to test nonlinear relationships among a series of explanatory variables and a binary, categorical response variable. All possible separations (categorical) or cut points (quantitative) are tested. For the present analyses, “the entropy- goodness of split” criterion was used to grow the tree and 5% min_samples_split was used to decide whether to split further branch or not.
The following explanatory variables along with their importance mostly contributed to a classification tree model evaluating smoking experimentation (my response variable):- age(.029), White(.077), Black(.013), Alcohol use(.115), marijuana use(.500), availability of cigarettes in the home(.012), alcohol problems(.010), deviance(.043), depression(.017), parental presence(.014), parental activities(.031), family connectedness(.022), school connectedness(.047) and grade point average(.052).
The most important feature for marijuana use with 50% contribution. The total model classified 85% of the sample correctly, 90% of experimenters (sensitivity) and 55% of nonsmokers (specificity).
Note:- The Code given below can be run directly in Google Colab. Test data size is set to 915 and training data 3660.
------------------------------------------Code----------------------------------
Imports:-
from google.colab import drive,files
import pandas as pd
import matplotlib.pyplot as plt
import os
import pydotplus
import io
from IPython.display import Image
from sklearn import tree
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
drive.mount('/content/gdrive')
corpusName ="_d21b2085472fd467f689f21cd421b13b_tree_addhealth.csv"
folderPath = "/content/gdrive/My Drive/MachineLearningForDataAnalysis"
corpus = os.path.join(folderPath, corpusName)
df_train = pd.read_csv(corpus)
print("Dataset shape = ")
print(df_train.shape)
Output: Dataset shape = (6504, 25)
df_train.dropna(inplace=True)
x_train,x_test = train_test_split(df_train,train_size=0.8,random_state=42)
y_train,y_test = x_train.TREG1,x_test.TREG1
model=tree.DecisionTreeClassifier(random_state=42,criterion="entropy",min_samples_split=(int)(x_train.shape[0]*0.05),)
model.fit(x_train.drop("TREG1",axis=1),y_train)
y_pred=model.predict(x_test.drop("TREG1",axis=1))
print("Confusion matrix = ")
print(confusion_matrix(y_test,y_pred))
Output: Confusion matrix = [[714 56] [ 77 68]]
print("Accuracy = ")
print(accuracy_score(y_test,y_pred))
Output: Accuracy = 0.8546448087431694
out = io.StringIO()
tree.export_graphviz(model, out_file=out)
graph=pydotplus.graph_from_dot_data(out.getvalue())
img = Image(graph.create_png())
filePath = os.path.join(folderPath, "DecisionTree.png")
with open(filePath, "wb") as png:
png.write(img.data)
png.close()
dict_ = dict()
for i,col in enumerate(x_train.drop("TREG1",axis=1).columns):
dict_[col]=model.feature_importances_[i]
print(dict_)
Output: {'BIO_SEX': 0.0, 'HISPANIC': 0.0, 'WHITE': 0.07689800188375509, 'BLACK': 0.013329278083582821, 'NAMERICAN': 0.0, 'ASIAN': 0.0, 'age': 0.028676800427653523, 'ALCEVR1': 0.11531998044836722, 'ALCPROBS1': 0.010359831147465094, 'marever1': 0.5003916650012903, 'cocever1': 0.0, 'inhever1': 0.0, 'cigavail': 0.011564724963814329, 'DEP1': 0.017293445565594052, 'ESTEEM1': 0.003972967897391851, 'VIOL1': 0.008243966063649775, 'PASSIST': 0.005773466454035425, 'DEVIANT1': 0.042695886446359736, 'SCHCONN1': 0.046592301917146584, 'GPA1': 0.05240826234607083, 'EXPEL1': 0.0, 'FAMCONCT': 0.022239864016842078, 'PARACTV': 0.030525880193369718, 'PARPRES': 0.013713677143611642}
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Buenas! Já tem quase uma semana que essa novidade está rolando na loja. Há quase 1 ano desenvolvi arte para a marca de produtos gospel Mariah Craft e Design (@mariahcraftdesign) para ser vendida na plataforma Colab 55 Você encontrará na loja MMC (@mamoreiracraft) alguns produtos e finalizando a compra na Colab 55 tudo muito rápido simples. Em breve disponibilizaremos os produtos voltados para a papelaria cuja compra será diretamente em nossa loja. É isso, que seja dia abençoado e tranquilo pra nós. 😉✌🌧 Esperamos você por lá. http://mamoreiracraft.com.br/loja (link na bio) * * Lave as mãos, use álcool 70°, evite aglomeração, cuide de si e de quem você ama. 😷 * * #marcelamfabio #mamoreiracraft #cantelier #empreendedoraemcasa #mulherempreendedora #lojavirtual #vendasonline #atelier #distanciamentosocial #fiqueemcasa #usemascara #bauru (em Bauru, cidade sem limites) https://www.instagram.com/p/CZg8wDPOdx4/?utm_medium=tumblr
#marcelamfabio#mamoreiracraft#cantelier#empreendedoraemcasa#mulherempreendedora#lojavirtual#vendasonline#atelier#distanciamentosocial#fiqueemcasa#usemascara#bauru
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COVID19 wiki - Intrebări si răspunsuri: teste de laborator si diagnostic
Citeste articolul pe https://consultatiiladomiciliu.ro/covid19-wiki-intrebari-si-raspunsuri-teste-de-laborator-si-diagnostic/
COVID19 wiki - Intrebări si răspunsuri: teste de laborator si diagnostic
Unde sunt procesate testele de diagnostic pentru boala coronavirus 2019 (COVID-19)?
În prezent, testarea diagnosticului pentru infecția cu SARS-CoV-2 poate fi efectuată de CDC, laboratoarele de sănătate publică de stat, spitalele care utilizează propriile teste dezvoltate și validate și unele laboratoare comerciale de referință. [124]
Departamentele de sănătate de stat cu un pacient sub investigație (PUI) ar trebui să contacteze Centrul de operații de urgență (EOC) al CDC la 770-488-7100 pentru asistență cu colectarea, depozitarea și expedierea de probe clinice pentru testarea diagnosticului. Probele din tractul respirator superior, tractul respirator inferior și serul trebuie colectate pentru a optimiza probabilitatea de detectare. [96]
FDA recomandă acum ca tampoanele nazale care accesează doar partea din față a nasului să fie utilizate la pacienții simptomatici, permițând (1) o metodă de colectare mai confortabilă și simplificată și (2) auto-colectare la locul de colectare.
Testarea bolii coronavirus 2019 (COVID-2019) ar trebui repetată dacă rezultatele PCR sunt negative?
Vă rugăm să consultați Ghidul provizoriu al CDC privind boala Coronavirus 2019 (COVID-19) pentru recomandări suplimentare de testare de către CDC.
Este disponibil un test de anticorpi pentru boala coronavirus 2019 (COVID-19)?
Testele virale (testele de detectare a acidului nucleic sau antigen) sunt utilizate pentru a evalua infecția acută, în timp ce testele cu anticorpi oferă dovezi ale unei infecții anterioare cu SARS-CoV-2. Informații detaliate sunt disponibile în Ghid de diagnosticare și testare de laborator pentru COVID-19.
Cum se utilizează testarea moleculară în diagnosticul bolii coronavirus 2019 (COVID-19)?
Testele virale (testele de detectare a acidului nucleic sau antigen) sunt utilizate pentru a evalua infecția acută, în timp ce testele cu anticorpi oferă dovezi ale unei infecții anterioare cu SARS-CoV-2. Informații detaliate sunt disponibile în Ghid de diagnosticare și testare de laborator pentru COVID-19.
Poate fi utilizată cultura virală pentru diagnosticarea bolii coronavirusului 2019 (COVID-19)?
La pacienții cu suspiciune de COVID-19, izolarea virusului în cultura celulară sau caracterizarea inițială a agenților virali recuperați în culturi de probe nu este recomandată din motive de biosecuritate.
Care sunt caracteristicile comune de laborator la pacienții cu boală coronavirus 2019 (COVID-19)?
Leucopenia, leucocitoza și limfopenia au fost frecvente în cazurile precoce. [32, 55]
Nivelurile de lactat dehidrogenază și feritină sunt frecvent crescute. [55]
Wu și colab. Au raportat că, printre 200 de pacienți cu COVID-19 care au fost spitalizați, vârsta înaintată, neutrofilia și nivelurile crescute de lactat dehidrogenază și dimer D au crescut riscurile de ARDS și deces.
Ce tip de test este utilizat pentru a evalua boala coronavirusului 2019 (COVID-19)?
Testele virale (testele de detectare a acidului nucleic sau antigen) sunt utilizate pentru a evalua infecția acută, în timp ce testele cu anticorpi oferă dovezi ale unei infecții anterioare cu SARS-CoV-2. Kituri de colectare a probelor la domiciliu pentru testarea COVID-19 au fost disponibile pe bază de prescripție medicală, în decembrie 2020, LabCorp Pixel COVID-19 Test Home Collection Kit a devenit primul care a primit un EUA FDA pentru utilizarea fără prescripție medicală. Informații detaliate sunt disponibile în Ghid de diagnosticare și testare de laborator pentru COVID-19.
Care este semnificația unui rezultat pozitiv al testului SARS-CoV-2 după rezolvarea clinică a bolii coronavirus 2019 (COVID-19)?
Testele virale (testele de detectare a acidului nucleic sau antigen) sunt utilizate pentru a evalua infecția acută, în timp ce testele cu anticorpi oferă dovezi ale unei infecții anterioare cu SARS-CoV-2. Informații detaliate sunt disponibile în Ghid de diagnosticare și testare de laborator pentru COVID-19.
Ce probe clinice sunt cele mai bune pentru testarea bolii coronavirus 2019 (COVID-19)?
Testele virale (testele de detectare a acidului nucleic sau antigen) sunt utilizate pentru a evalua infecția acută, în timp ce testele cu anticorpi oferă dovezi ale unei infecții anterioare cu SARS-CoV-2. Informații detaliate sunt disponibile în Ghid de diagnosticare și testare de laborator pentru COVID-19.
Există semne de boală coronavirus 2019 (COVID-19) la pacienții aparent asimptomatici?
Cel puțin două studii au raportat manifestări de infecție la indivizi aparent asimptomatici. Hu și colab. Au raportat 24 de persoane infectate asimptomatic la care scanarea CT toracică a dezvăluit opacități de sticlă macinată / umbrire neuniformă în 50% din cazuri. [131] Wang și colab. Au raportat la 55 de pacienți cu infecție asimptomatică, dintre care două treimi au prezentat dovezi de pneumonie, după cum s-a evidențiat prin scanarea CT.
Care este rolul scanării CT în diagnosticul bolii coronavirus 2019 (COVID-19)?
Scanarea CT toracică la pacienții cu pneumonie asociată cu COVID-19 prezintă de obicei opacificare cu sticlă măcinată, posibil cu consolidare. Unele studii au raportat că anomaliile scanării CT toracice sunt de obicei bilaterale, implică lobii inferiori și au o distribuție periferică. De asemenea, au fost raportate revărsat pleural, îngroșare pleurală și limfadenopatie, deși cu o frecvență mai mică. [55, 127, 128]
Bai și colab. Au raportat următoarele caracteristici comune de scanare CT toracică la 201 pacienți cu anomalii CT și rezultate RT-PCR pozitive pentru COVID-19: [129]
Distribuție periferică (80%)
Opacitatea sticlei macinate (91%)
Opacitate reticulară fină (56%)
Îngroșarea vasculară (59%)
Caracteristicile mai puțin frecvente ale scanării CT toracice au inclus următoarele: [129]
Distribuție centrală și periferică (14%)
Revărsat pleural (4,1%)
Limfadenopatie (2,7%)
Colegiul American de Radiologie (ACR) recomandă împotriva utilizării scanării CT pentru screening sau diagnostic, dar în schimb să o rezerve pentru management la pacienții spitalizați. [130]
Cel puțin două studii au raportat manifestări de infecție la indivizi aparent asimptomatici. Hu și colab. Au raportat 24 de persoane infectate asimptomatic la care scanarea CT toracică a dezvăluit opacități de sticlă macinată / umbrire neuniformă în 50% din cazuri. [131] Wang și colab. Au raportat la 55 de pacienți cu infecție asimptomatică, dintre care două treimi au prezentat dovezi de pneumonie, după cum s-a evidențiat prin scanarea CT. [132]
Progresia anomaliilor CT
Mingzhi și colab. Recomandă scanarea CT de înaltă rezoluție și au raportat următoarele modificări ale CT în timp la pacienții cu COVID-19 din 3 spitale chinezești: [133]
Faza incipientă: Încep să apară mai multe umbre patch-uri mici și modificări interstițiale într-o distribuție care începe în apropierea pleurei sau a bronhiilor, mai degrabă decât a parenchimului pulmonar.
Faza progresivă: leziunile se măresc și cresc, evoluând la multiple opacități de sticlă măcinată și consolidându-se infiltrându-se în ambii plămâni.
Faza severă: apar consolidări pulmonare masive, în timp ce revărsatul pleural este rar.
Faza disipativă: opacitățile sticlei și consolidările pulmonare sunt absorbite complet. Leziunile încep să evolueze în fibroză. [133]
CT toracică axială demonstrează opacități neuniforme din sticlă macinată cu distribuție periferică.
Reconstrucție coronariană CT toracică a aceluiași pacient, care prezintă opacități de sticlă mată.
CT toracică axială prezintă consolidatio bilaterală CT toracică axială demonstrează opacitate de sticlă mată
CT toracică axială prezintă consolidări bilaterale (săgeți), unele cu opacitate periferică de sticlă macinată. Rezultatele sunt în distribuție periferică și subpleurală.
Care este rolul radiografiei toracice în diagnosticul bolii coronavirus 2019 (COVID-19)?
Într-un studiu retrospectiv al pacienților din Hong Kong cu COVID-19, anomalii frecvente la radiografia toracică, atunci când au fost prezente, au inclus consolidarea (30 din 64 de pacienți; 47%) și opacitățile sticlei (33%). Consolidarea a fost de obicei bilaterală și de distribuție a zonei inferioare. Revărsatul pleural a fost o constatare neobișnuită. Severitatea la radiografia toracică a atins un maxim de 10-12 zile de la debutul sistemului. [134]
Radiografia toracică poate dezvălui infiltrate pulmonare.
Inima are dimensiuni normale. Există opacități difuze, neuniforme în ambii plămâni, care pot reprezenta pneumonie virală / bacteriană multifocală versus edem pulmonar. Aceste opacități sunt deosebit de confluente de-a lungul periferiei plămânului drept. Există o atelectazie plăcută asemănătoare plăcii. Oscurarea unghiului costofrenic stâng poate reprezenta consolidarea versus un revărsat pleural cu atelectazie. Nu există pneumotorax.
Inima are dimensiuni normale. Există opacități cețoase bilaterale, cu predominanță inferioară a lobului. Aceste constatări sunt în concordanță cu pneumonia multifocală / virală. Nu se observă revărsat pleural sau pneumotorax.
Inima are dimensiuni normale. Opacități neuniforme sunt observate în câmpurile pulmonare. Zonele petrecute de consolidare la baza pulmonară dreaptă siluetează parțial diafragma dreaptă. Nu există revărsat sau pneumotorax. Se constată modificări degenerative ale coloanei toracice.
Același pacient ca mai sus 10 zile mai târziu.
Traheea este în linia mediană. Silueta cardiomediastinală are dimensiuni normale. Există opacități reticulonodulare difuze cețoase în ambii plămâni. Diagnosticul diferențial include pneumonie virală, pneumonie bacteriană multifocală sau ARDS. Nu există revărsat pleural sau pneumotorax.
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著者のDaniel Bourke氏はオーストラリア在住の機械学習エンジニアであり、AINOW翻訳記事『 わたしの機械学習エンジニアキャリア1年目で学んだ12のこと【前編】』とその 後編の著者でもあります（同氏の詳しい経歴は こちらを参照）。同氏が最近Mediumに投稿した記事『私はいかにしてTensorFlowデベロッパー認定資格に合格したか』では、 TensorFlowデバロッパー認定資格を受験して合格した顛末が解説されています。 何かに挑戦することが大好きな同氏は、チャレンジとスキルアップを兼ねてGoogleが運営する資格試験「TensorFlowデベロッパー認定資格」を受験することにしました。この資格は、名称からわかる通り、メジャーなAIモデル開発環境のひとつである TensorFlowを活用してAIモデルを構築するスキルを問うものです。 同認定資格試験の詳細および対策は以下の記事本文で解説されていますが、AINOWの読者が気になるのは同資格と日本でもっともメジャーなAI開発者資格である E資格との違いでしょう。このふたつの資格を比較すると、以下の表のようにまとめられます。 E資格とTensorFlowデベロッパー認定資格の比較表 E資格 TensorFlowデベロッパー認定資格 試験主催者 日本ディープラーニング協会 Google 受験資格 JDLA認定プログラムを試験日の過去2年以内に修了していること 個人として受験すること。法人単位での資格取得は不可 試験内容 ディープラーニングの理論を理解し、適切な手法を選択して実装する能力や知識を有しているかを認定する。 TensorFlow 2.0 以降を使用したニューラル ネットワーク モデルの構築と訓練。画像分類、自然言語処理、時系列データの予測。 出題形式 知識問題（多肢選択式・100問程度） PyCharm 環境下で TensorFlow を使用した TensorFlow モデルを導入する、オンラインでのパフォーマンスベーステスト 公式教材 JDLA認定プログラム 推薦教材をまとめたウェブページがある 試験時間 2時間（120分） 5時間 試験会場 日本各地の指定試験会場 試験環境が使用できる場所ならどこでも 試験日 おおむね年2回 いつでも 受験料 一般：33000円（税込） 学生：22000円（税込） 協会会員：27500円（税込） 100USドル 以上の表から、E資格に合格するような開発者はおそらくTensorFlowデバロッパー認定資格にも合格すると推測されます。後者の資格は受験料が安くいつでも受験できるので、前者の資格を受験する前の力試しに受験したり、前者の資格取得後にさらなるスキルアップとしてチャレンジすることも可能でしょう。 AI開発者の養成が今後さらに盛んになる日本では、E資格とTensorFlowデベロッパー認定資格の両方を持った「ダブル資格保有者」が多数現れるかも知れません。 なお、以下の記事本文はDaniel Bourke氏に直接コンタクトをとり、翻訳許可を頂いたうえで翻訳したものです。 そして、あなたも合格する方法 開発者のアップスキルのすべての兆候：剃っていない髭、食べかけのボラ、いたるところにケーブル、パーカー（必須）。写真撮影はSam Bourkeによる、ありがとう我が兄弟。 5月の初め、私はTensorFlowデベロッパー認定資格を取得することにした。そこで、自分のスキルを磨くためのカリキュラムを用意して、数日前（6月3日）に認定試験を受けた（※訳註1）。結局、私は合格した。 （※訳註1）この記事が公開されたのは、6月7日である。 私がどうやって合格したか、そしてあなたにもできることを教えたいと思う。 ちょっと待って。TensorFlowって何？ TensorFlowとはオープンソースの数値計算フレームワークで、データを前処理し、データをモデル化して（通常はディープラーニングを使ってパターンを見つけて）、解決策を世界に実装することができるものだ。 このフレームワークは、Googleが機械学習サービスのすべてを動かすために使用しているものだ。あなたがこの記事を読むのに使っているデバイスでも、以前に何らかのTensorFlowが実行されたことがあるかも知れない。 通常、ユーザはTensorFlowのコードを非常にわかりやすい（試験に出題される）PythonやJavaScript（tensorflow.js）で書き、C言語で書かれた一連の基礎となる関数をトリガーにして、実行するようにに指示したことを遂行するのだ(実行するのは多くの数値計算)。 さて、これでTensorFlowとは何かはわかったが、それではTensorFlowデベロッパー認定資格とは何か。そして、その資格は興味をひくものなのかについて以下に説明する。 ・・・ TensorFlowデベロッパー認定資格とは？ TensorFlowデベロッパー認定資格とは、ご想像の通り、TensorFlowの使用能力をアピールするためのものだ。 より具体的には、TensorFlow（Python版）を使って、回帰、コンピュータビジョン（画像のパターンを見つける）、自然言語処理（テキストのパターンを見つける）、時系列予測（所与の過去の出来事の範囲から将来の傾向を予測する）などのタスクのためのディープラーニングモデルを構築する能力を問う資格だ。 ・・・ TensorFlow デベロッパー認定資格を取得したいと思った理由とは？ 私の最初の理由は楽しいものだった。私は自分自身に少しでも何かに挑戦することを課したいと思っていたし、購入した新しい本を読む理由にもなった（これについては後で詳しく説明する）。 しかし、他にも2つの正当な理由があった。 機械学習を動力とするアプリケーションを構築するために必要な基礎的なスキルを習得する。 将来の雇用者に自分のスキルコンピテンシーをアピールする（※訳註2）。 将来の雇用者に関して言えば、（ソフトウェア開発者の求人情報を毎月集めたページである）Hacker NewsのWho’s Hiringページのデータによると、他のディープラーニングフレームワークと比較して、TensorFlowが優位に立っているように見える。 Hacker NewsのWho’s Hiringページに掲載されているさまざまな求人情報で言及されている様々なディープラーニングフレームワークを比較してみた。注1：TensorFlow 2.xの時点では、Kerasは基本的にTensorFlowの一部である。注2：コロナ禍という現在の世界的な状況のため、ソフトウェア開発者の役割の全体的な採用は減少している。画像出典。 はっきりさせておきたいのだが、有償の資格認定証が就職の保証になるわけではない。しかし、スキルがコモディティ化しつつあるオンライン学習の世界では、有償資格の取得は自分の能力をアピールするためのもうひとつの方法なのだ。 オンライン講座で基礎知識を構築し、私的なプロジェクトで特定の知識を構築する ― そうしたふたつのスキル構築法に加えて、有償資格はあなたが取り組んできた個人的なプロジェクトの既存のリストに素敵な付加価値を加えるもの、と私は考えている。 とは言うものも、どうやって有償資格を取得するのか。 （※訳註2） コンピテンシーとは、 高い業績を上げている人材に見られる行動特性を意味する。コンピテンシーで捉えようとするものは、人材の性格から見た特徴ではなく、行動から見られるそれである。 本記事のコンテクストに即して言えば、TensorFlowデベロッパー認定資格を取得しているようなAI開発者であれば、AIモデル開発に必要な知識を習得しているだけではなく、資格試験に合格するだけの自己管理能力と仕事に対する意欲というコンピテンシーがあると見なせる。 ・・・ 試験対策の方法 TensorFlowデベロッパー認定資格が欲しいと思ってから、私は認定サイトを見て、TensorFlowデベロッパー認定ハンドブックを読んだ。 この認定サイトとハンドブックという2つのリソースをうけて、私は以下のようなカリキュラムを構築した。 ・・・ カリキュラム ― 合格に必要なスキルを習得するために勉強したこと 私のスキルに関して特筆すべきことは、試験勉強を始める前にTensorFlowを使っていくつかのプロジェクトを構築した実践的経験があることだ。 経験豊富なTensorFlowとディープラーニングの実践者は、私が行ったのとほぼ同じペース（合計3週間）か、あるいはもっと早く以下のカリキュラムをこなせることに気づくだろう。 初学者は、必要なだけ時間をかけたいと思うだろう。しかし、覚えておいてほしいことがある：価値のあるスキルを構築するには時間がかかるのだ。 それぞれのリソースについて、タイムライン、費用（USドル）、（試験に合格するための）お役立ち度をリストアップした。タイムラインは私の経験に基づいている。 もし自分でカリキュラムを作るのであれば、以下のようなものがおすすめだ。 注記：有料のリソースについては、アフィリエイトリンクが使用されている。アフェリエイトリンク自体はリソースの価格を変えるようなものではないが、あなたがそうしたリソースのひとつを購入した場合、私は支払いの一部を受け取ることになる：その支払いは、私がこのようなリソースを作成するために使用したお金の対価である。 時間：1時間 コスト：無料 お役立ち度：必須 このリソースはあなたの最初のステップになるはずだ。これは、試験でカバーされるトピックの概要を示している。まずはハンドブックを読んで、それからもう一度読もう。 もしあなたがTensorFlowや機械学習の初学者なら、ハンドブックを読むと、様々なトピックがあることで恐れをなすかも知れない。しかし、心配ご無用。以下のリソースは、そんなトピックに慣れ親しむのに役立つ。 時間：3週間（上級者）〜3ヶ月（初学者） コスト：7日間の無料トライアルの後、月額59ドル、申請により経済的援助が受けられる。Courseraにアクセスできない場合は、YouTubeで同等の無料版を視聴しよう。 お役立ち度：10/10 （※訳註3）TensorFlow in Practice専門講座には、日本語字幕をつけることができる。 Courseraの専門講座は、試験（および一般的にTensorFlowを使い始めること）に最も関連するリソースだ。慎重な学生は、TensorFlow認定資格ハンドブックとこの専門講座の概要がほぼ同じであることに気づくだろう。 この専門講座はTensorFlowと機械学習の二大巨人であるローレンス・モロニーとアンドリュー・ン（※訳註4）が教えてくれる。試験の準備のためにリソースをひとつだけ選ばなければならないとしたら、わたしはこれを選ぶだろう。 この専門講座は短いビデオ形式で、できるだけ早く実践例に焦点を当てていることを、私は高く評価している。各セクションの最後にある複数のコードノートは、あらゆる実践的な学習者にとって必須なものだ。 プログラミング演習のヒント：コードの隙間を埋めるだけではなく、全体を自分で書き出してみよう。 時間：3週間（最初から最後まで読んで演習なし）〜3ヶ月（最初から最後まで読んで演習を実施） コスト：Amazonには様々な価格のものがあるが、私は紙の書籍を55ドルで入手した。同書のソースコードは、GitHubからすべて無料で見ることができる。 お役立ち度：7/10（一部の章が試験に関係ないという理由から） 700ページ以上ある書籍であり、基本的に機械学習のすべてをカバーしている。そのため、試験に関連していないいくつかのトピックをカバーしている。しかし、機械学習の将来のための強固な基盤を築くことに興味がある人にとっては必読の書であり、試験に合格するためだけの書籍ではないのだ。 機械学習の初学者ならば、この本を読むのは難しいと思うに違いない（そもそも初学者なのだから）。しかし、心配ご無用。焦る必要はない、役に立つスキルを習得するには時間がかかるのだ。 この本の質を知りたいのであれば、私は機械学習エンジニアの仕事に向かう朝の通勤時間に初版を読んでいたことを伝えたい。そして、通勤中に本で読んだことをそのまま日中の仕事で使っていたことが少なからずあった、と言うこともできる。 第2版では、最新のツールとそれを使う技術、つまりTensorFlow 2.xに関する記述をカバーするためにアップデートされたことを除けば、第1版と変わりはない。なお、試験はTensorFlow 2.xにもとづいている。 試験に関連する章だけで構わないのなら、以下を読むとよいだろう。 第10章：Kerasを使った人工ニューラルネットワーク入門 第11章：ディープニューラルネットワークの訓練 第12章：TensorFlowによるカスタムモデルと訓練 第13章：TensorFlowによるデータのローディングと前処理 第14章：畳み込みニューラルネットワークを用いたディープコンピュータビジョン 第15章：RNNとCNNを用いたシーケンス処理 第16章：RNNとアテンションによる自然言語処理 真面目な学生には、私は本全体と演習をお勧めする（あるいはすべてではなくても、あなたの興味が最もスパークするものを選択しよう）。 時間：3時間（私は講義を３回分しか見ていない）〜24時間（１講義あたり１時間＋復習を各１時間ずつ）。 コスト：無料 お役立ち度：8/10 世界レベルの大学が発信している世界レベルのディープラーニングの情報が得られる。そして、私は言及しただろうか。無料だということを。 最初の3つの講義、ディープラーニング（概論）、畳み込みニューラルネットワーク（通常はコンピュータビジョンに使用）、リカレントニューラルネットワーク（通常はテキスト処理に使用）は、最も試験に関連している。 しかし、熱心な学習者にとっては、全コースを受講することは悪いことではない。 GitHubで提供されている講義のラボやコード、特にTensorFlow入門に関するそれらをチェックしよう。そして繰り返しになるが、自分でコードを書くことの重要性は強調しすぎるということはない。 時間：3時間（あなたのパソコンの速度による） コスト：無料 お役立ち度：10/10（PyCharmを使うことが条件）。 試験はPyCharm（Pythonの開発ツール）で行われる。私は、試験前にPyCharmを使ったことがなかった。そして、少なくともある程度使いこなせるようになってから、試験に臨むことを勧める。 まずはPyCharm に慣れるために、その名も「このボタンを押すだけです」というYouTube の入門シリーズを見ていた。 しかし、以上の入門シリーズで確かめたかった主なことは、TensorFlow 2.xが問題なく動作すること、そして私のコンピュータがディープニューラルネットワークを適切な時間で実行できることだった（私のMacBook ProにはNvidia GPUが搭載されていない）。 以上をテストするために、以下の2つのTensorFlowチュートリアルを私のローカルマシン上で複製した。 TensorFlowによる画像分類 TensorFlowによるテキスト分類 どちらもローカル環境では問題なく動いていたのだが、後述するように、試験を開始してすぐに問題にぶつかった。 その他のリソース ・・・ どのような試験対策をしていたのか？ 上記のリソースを使った試験対策について、Notion（※訳註5）でアウトラインをまとめてみた。 （※訳註6） Notionとは、 メモ作成、タスク管理、そしてプロジェクト管理を統合したメモアプリ。Windows／MacOS／iOS／Android／Webに対応している。現時点では日本語版は存在しない。 5月中は毎朝、起床、執筆、散歩、実践的な機械学習の本を1時間読み、TensorFlowを2～3時間実践して（最初に講義を見て、その後Google Colabでコーディング演習をすべて完了）、各学習モジュールの締めくくりに対応するMITによるディープラーニング入門の講義を見ていた。 例えば、CourseraのTensorFlow in Practice専門講座におけるコンピュータビジョンのセクションを終えた後は、MITの（コンピュータ・ビジョン・アルゴリズムの一種である）Convolutional Neural Networkの講義を見ていた。 この「本を読み、コードを書き、動画講義で復習する」という三位一体のアプローチは、特に効果があることが判明した。 本で読んだ概念はCourseraの専門講座におけるサンプルコードで固められ、最終的にはMITの動画に知識と実践をまとめるのだ。 試験対策の時系列的な目安として、私は5月11日から受験勉強を始めて、6月3日に受験した。 （Notionを使った）私自身のトラッキングと手書きのブックマークによれば、1時間に平均20ページ、（気晴らしなしで）2～3時間の学習ブロックで約1週間のコース内容をこなしていた。 最終的には試験の数日前にPyCharmをダウンロードして、私がすでに経験したいくつかのサンプルコードをローカルマシンでも動作することを確認した。 ・・・ 試験の詳細 ― 実際の試験はどんなものか？ 勉強は終わっただろうか。それでは次は何だ？ さて、まずは重要な2つの要素の説明から始めよう。 試験費用：100USドル（1回目の受験で失敗した場合は、2週間の待機後に再挑戦しなければならない。その後、試験に失敗する度に待機時間が長くなる）。 （※訳註7） 日本語版TensorFlow デベロッパー認定資格・受験者向けガイドブックによると、再試験に関しては、以下のように規定されている。 最初の受験で不合格となった場合は、再受験までに 14 日間お待ちいただく必要があります。 2 回目の受験で不合格となった場合は、再受験までに 2 か月間お待ちいただく必要があります。 3 回目以降の受験でも不合格となった場合は、再受験までに 1 年間お待ちいただく必要があります。 制限時間：5時間。試験開始時のエラーがなければ、私は快適に3時間以内に終了していたと思う。ただし、制限時間が十分以上に長いのは、コンピュータでディープラーニングモデルを訓練するのに十分な時間を受験者に与えるためだ（それゆえ、試験前に訓練がうまくいくかどうか確認しよう）。 試験はどのような構成なのか？ 試験の構成を解説するのは不正行為になるので、この記事では多くを明らかにするつもりはない。私が言いたいのは、TensorFlow デベロッパー認定資格ハンドブックを読めば、試験の主要なセクションに関するアイデアを公平に得ることができるということだけだ。 （上記のリソースを使って）ハンドブックで紹介されているテクニックを一つ一つ練習すれば、試験は大丈夫だろう。 試験に関する豆知識 モデルの訓練 ― もしあなたのコンピュータがディープラーニングモデルを十分に速くトレーニングできない場合(合格基準の一部はトレーニングされたモデルを提出することだ)、無料のGPUを使ってGoogle Colab内でモデルを訓練することができ、訓練後それらをダウンロードできる。そして、試験に関連するディレクトリに配置し、PyCharmを使って提出することができる。 私の壊れたPythonインタプリタ – 試験対策資料ではPython3.7が必須と強調されている。私が試験対策を始めたときはPython 3.7.3だった。そして、前日までは私のローカルマシンでPyCharmを使ってTensorFlowが動いていたにもかかわらず、何らかの理由で試験開始後に（受験者のために自動的にTensorFlowの環境が作られる）試験環境が壊れてしまった。 どういうことかと言うと、TensorFlowのコードを1行実行するたびに以下のようなエラーメッセージが出るようになったのだ。 RuntimeError: dictionary changed size during iteration 今となっては、エラーの原因が試験時にインストールされるTensorFlowのバージョン（2.0.0）のせいなのか、私が持っていたPythonの特定のバージョン（3.7.3）なのかはよくわからない。 とはいえ、悪態をつきながら当該問題に関するGitHubの古いスレッドの奥深くを熱心に検索した結果、使用していたPythonのソースコード（具体的にはlincache.pyの48行目）を変更しなければならないという奇妙な修正方法を発見した。 # 修正前のlincache.pyの48行目 for mod in sys.modules.values()： # 更新後のlincache.pyの48行目 for mod in list(sys.modules.values())：# 追加されたリスト() 注記：以上の変更は、試験中に実行した手っ取り早い修正に過ぎないので、長期的な効果や影響があるかどうかはわからない。 2.2.x）。この方法を試してみたがうまく行かなかった。もっとも、うまく行かなかったのは、PyCharmの初心者たる私が犯したユーザーエラーの可能性がある。 修正を実施したら、問題なく試験を終えることができた。 ・・・ 試験が終わった後はどうなるのか？ 試験に合格していたら、メールで通知される。「合格おめでとうございます」あるいは「残念ながら今回は合格できませんでした」以外のフィードバックはない。 試験を続けるやる気を失わせない程度に、試験を受けているあいだ、あなたが合格する可能性があるかどうかに関して、かなり明確な指標を得ることができる（モデルを提出するたびに試験合否指標は表示される）。 何はともあれ、もし合格したら、おめでとうございます！ TensorFlow認定デベロッパーネットワークに追加されたことを確認するために、必ずメールのフォームに記入しよう。 試験に合格し、確認メールのフォームに記入したら、数週間後にはGoogleのGlobal Certification Networkに行けるようになる。注：この記事を書き終えた時点では、私はまだ表示されていない。表示されるまでに1～2週間かかる。 ここに登録することで、熟練したTensorFlowデベロッパーを探している人は誰でも、資格の種類、経験、地域に基づいてあなたを検索することができるようになる。 最後に、（私はまだ取得していないのだが）数週間以内に、公式のTensorFlowデベロッパー認定証とバッジがメールで送られてくる。採用面接時などに取り組んだプロジェクトと一緒に披露できるものが2つ追加されるというわけだ。 ・・・ 本記事著者への質問とその回答 講座を受講して、本を読んで、自分で練習するだけでもいいように思えるが、認定証は本当に必要なのだろうか？ もちろん、認定証は必要不可欠というわけではない。結局のところ、あなたが求めるのはスキルであって、認定書ではない。認定書は持っているとよいものであって、持つべきものではないのだ。 認定書は必要ないと言うのなら、あなたはなぜ取得したのか？ 私は、目標に向かって挑戦することが好きなのだ。「6月3日に受験する」というように、自分の中で期日を決めておくことで、勉強するしかないという気持ちになった。 無料のリソースのみで合格できるのか？ はい、もちろんできる。TensorFlowのドキュメントを見れば、必要なスキルをすべて学ぶことができる。実際、何か練習が必要なときは、ドキュメントのサンプルコードを逐一コピーして（つまりコードの一行ごとに）、一行ずつ理解する練習をして、自力できるかどうかを確認するのだ。 なぜPyTorchではないのか？ 私は PyTorch が大好きだ。しかし、GoogleはPyTorchでの認定を提供していないので、もし提供されたら、その認定資格にも挑戦するだろう（しかも楽しんで）。さらに、（PyTorch と TensorFlowの）両方のフレームワークに関して経験豊富なユーザは、最近のアップデートにより、両者が非常に似てきていることに気づくだろう。どちらかと言えば、TensorFlow はエンタープライズの世界では優位に立っている（前掲のグラフを参照）。 機械学習を知らないのだが、何から始めればいいのか？ 私が書いた記事「機械学習を学ぶための5つの初学者に優しいステップ」から読むこと。 試験に合格してGoogle デベロッパー認定資格ネットワークに登録したが、次は何をすべきか？ 作る時が来た！学んだ技術を使って、あなたが世界で見たいものを作ろう。あなたの作品を誰が見るかわからないので、シェアすることを忘れないでおこう。 TensorFlowデベロッパー認定資格について言及していないことはなかっただろうか？何か知りたい場合は下にコメントするか、メールで質問してください。私が答えます。 PS あなたが読むより動画を視聴するほうが好きならば、私はこの記事のビデオ版を作っているので、そちらを視聴してください。 VIDEO 原文 『How I passed the TensorFlow Developer Certification Exam』 著者 Daniel Bourke 翻訳 吉本幸記（フリーライター、JDLA Deep Learning for GENERAL 2019 #1取得�� 編集 おざけん
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SACRAMENTO DO MATRIMÔNIO / HOLY MATRIMONY ::::ENGLISH VERSION OF THE POST BELOW PT-BR VERSION:::: Versão Colorida do Desenho mais conhecido desta que vos fala! Gente! Finalmente consegui terminar a colorização desta página do meu livrinho de colorir volume 2, que é uma nova versão de um desenho meu feito em papel no ano de 2011! (Quer ver o desenho antigo? Clica aqui: https://artelizdesouza.deviantart.com/art/Holy-Matrimony-203835966) Por favor, usem este post para compartilhar a imagem. Sim, ela tem uma enoooorme marca d'água com minha assinatura. Eu sei que não dá pra evitar completamente a falta de respeito na internet. mas a gente usa marca d'água pra tentar amenizar. Se você quer compartilhar em outras redes, eu estou colocando ela nos meus outros perfis no Tumblr, Instagram e Twitter. O DeviantArt já está com o post ativo! É possível comprar prints (somente prints por hoje, os outros produtos coloco ao longo da semana) pelo Colab 55 e pelo Society6! Links abaixo: https://www.colab55.com/@lizdesouza/posters/sacramento-do-matrimonio https://society6.com/product/holy-matrimony645077_print#s6-7455417p4a1v45 Deus abençoe! ::::::::::::::::::::::::ENGLISH VERSION::::::::::::::::::::::::::::: Dear followers! This is the new colored version of my most-shared drawing of all times! The first version was drawn in 2011 and in 2017 I've done a brand new one for my second coloring booklet about the Seven Sacraments. The older version is at this link: https://artelizdesouza.deviantart.com/art/Holy-Matrimony-203835966) And you can buy prints at Society6 here: https://society6.com/product/holy-matrimony645077_print#s6-7455417p4a1v45
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