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#statistician
vizthedatum · 5 months
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I'm gearing up for Advent of Code 2023 (while trying to be realistic about time constraints with self-care, work, and relationships)!
Who wants to do it with me? I'll mostly be coding in R (in base, tidyverse, and other random paradigms/package bundles), Python, Excel, and (maybe) Rust.
Let's do this work-life-programming balance. (I am a very rusty programmer since I mostly do statistical work - I have the aptitude for it but am very inefficient with optimized solutions.) I'll post my solutions here: https://github.com/pritikadasgupta/adventofcode
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taeddybearkim · 1 year
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"The future is independent of the past given the present."
‐ The Markov Property
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datascienceunicorn · 1 year
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higherentity · 1 year
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worldstatisticsday · 2 months
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7th Meeting - 55th Statistical Commission.
The 55th session of the United Nations Statistical Commission is scheduled to be held in New York from 27 February - 1 March 2024.
Watch the 7th Meeting - 55th Statistical Commission!
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li-matsoftsolution · 3 months
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Data Science Course Fees in Bangalore | Limat Softsolution
Discover affordable Data Science course fees in Bangalore and master Data Science with Python. Expert-led interactive sessions, hands-on projects, and certifications are available. Enroll now and unlock the potential of Data Science without breaking the bank.
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Read More:
Location: Electronics City Phase 1, Opp, Bengaluru, Karnataka 560100
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phantomstatistician · 10 months
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Fandom: Phineas and Ferb
Sample Size: 3,208 stories
Source: AO3
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wifegideonnav · 9 months
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eta: the third to last option says 500-999 shhh
how to find the number: use this page to calculate the total number of notes your original posts have gotten, then divide by the number of original posts (and round the result however you see fit). here's mine as an example:
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so i divide 142,200 by 626 and get 227.16, which i then round to 227 average notes per post
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artful-avenue · 1 year
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Not Significant: A Statistics Joke (LVIV, UKRAINE AVAILABLE PRODUCTS 84)
Bring a smile to any statistician's face with our "Not Significant: A Statistics Joke" design. Featuring the witty text "I have a statistics joke, but it's not significant" against a vibrant yellow rectangular, this design is perfect for anyone with an interest in statistics and a great sense of humor. With high-quality printing on a variety of products, this design makes a perfect gift for statistician and math enthusiasts. Order now and add a touch of humor to the world of statistics.
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statmodeller · 1 year
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Invited to deliver sessions on "𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘂𝘀𝗶𝗻𝗴 𝗦𝗣𝗦𝗦" during Faculty Induction Program organized by 𝗗𝗿. 𝗕𝗮𝗯𝗮𝘀𝗮𝗵𝗲𝗯 𝗔𝗺𝗯𝗲𝗱𝗸𝗮𝗿 𝗠𝗮𝗿𝗮𝘁𝗵𝘄𝗮𝗱𝗮 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, 𝗔𝘂𝗿𝗮𝗻𝗴𝗮𝗯𝗮𝗱. 𝟰𝟬+ 𝗙𝗮𝗰𝘂𝗹𝘁𝘆 𝗠𝗲𝗺𝗯𝗲𝗿𝘀 participated in this program. Do you want to conduct customized training for your organization? Feel free to contact us for consultation.‬ ‪📧 : [email protected] ‬ ‪💬 : https://wa.me/message/INGYCWVC2EPCP1 📞‬ : +91 98982 33268 🌐 : www.statmodeller.com ‪#statmodeller #datascience #operationalexcellence #training #consultancy #statistics #spss #ibm #ibmspss #statisticalanalysis #statistics #dataanalysis #statistical #dataanalyst #statistician #analysis #datascience #dataanalytics https://www.instagram.com/p/Cndr0eDNI8G/?igshid=NGJjMDIxMWI=
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daixin · 1 year
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Out of 2 billion #chinese people, every person within the top 30% saved ¥6200 to ¥7800 #CNY within the last year with said #onlineinvestment annually in 2021. #Economy #statistic #statistician #AskMeAQuestion #microeconomics #A #ChinaSavings #WhatsYourInvestmentAgreementTerms @USAGOV @the_nrcc @housegop #Dontbeheadlesschickens #BamboosIOwnWillScareYou #hehe Made some #investmentgains in the hotel room and going out for dinner and studying #GREExam with my buddy @princeton #hotel @Expedia #ExpediaGoldMember #CtripDiamondVIP #SiliconValley #USAHotel God watches ALL RIGHTS RESERVED 💫🌟💫 (at Silicon Valley, California) https://www.instagram.com/p/CmYBhbcrfnP/?igshid=NGJjMDIxMWI=
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ccsacademy · 2 years
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No prior experience? How to Land Your First Data Science Job? Data science is an evolving field. You’ll build your expertise and get the data scientist job that you want. It became pretty popular among young professionals. The exact roadmap to learning data science:-https://loom.ly/klrYreU Contact Us: https://loom.ly/08Sp5OM E-mail: [email protected] Telephone: +1 (858) 208-4141
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azgarilipshyblog · 2 years
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How the Rise of Machine Learning is Impacting Sports - By Azgari Lipshy
The use of machine learning in sports is rapidly expanding, with new advancements and applications appearing annually. The games themselves are the only thing that won't be enhanced by technology and data.
“We need to build AI into our digital infrastructures on a global scale so that it helps people make their livelihoods more accessible and more comfortable.”
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Sport has the power to connect people, and its impact is more vital than ever before. Interestingly, today’s audiences are digitally savvy and anticipate an immersive experience when it comes to sports. Machine learning and AI have opened up new sports data analytics opportunities. We’ve seen a surge of new technologies such as virtual reality, drones, connected fitness devices, and Internet of Things devices that we can combine with machine learning to unlock new insights from data sets. To help you have a closer look at how the rise of machine learning is impacting sports, I’ll discuss various examples of the specific benefits enjoyed by its implementation. 1. Data-driven Insights Data is at the heart of the transformation happening in sports. With insights from data, teams can make critical strategic decisions such as player recruitment, ticket pricing, and marketing campaigns. It can also help inform coaching decisions and provide players with performance analytics to boost their performance. Many organizations are leveraging data to create engaging experiences for audiences. For example, data insights can drive more personalized content and tailored experiences based on individual preferences. The impact of data is evident in the product and service offerings. Innovative product-led services like Amazon’s assistance with Alexa revolutionize how we consume and buy products. Consumers demand a personalized and seamless experience that is quick, convenient, and easy to use.
2. Virtual Assistants With the rise in machine learning, virtual assistants are evolving from a gimmick to a necessity. Athletes, teams, and coaches receive automated insights, alerts, and advice from virtual assistants. Virtual assistants are essentially AI bots trained to provide insights from data. They can monitor and manage various tasks, such as schedule management, practice tracking, nutrition, sleep, and recovery. Virtual assistants also provide real-time alerts to help athletes and coaches focus on performance. For example, they can send notifications when players miss a workout, alert coaches if a player is underperforming, or even monitor the team’s progress towards a specific goal. Virtual assistants make it easier to manage and track large amounts of data. They can also provide personalized insights based on individual preferences.
3. Advanced Statistician Tools The rise of data collection and machine learning has also led to advanced statistics tools. These tools help coaches make informed decisions about their team’s performance based on factors. Coaches using advanced statistical tools can easily access data from different games, seasons, and competitions. They can also dive into detailed data to identify success or failure factors. This data can inform strategic decisions such as team selection, game strategy, team training, and roster management. Some data points that coaches can analyze include team formation, time on the ball, shots, key passes, defensive errors, and possession. Advanced statistics tools can also create visualizations that help coaches understand team performance and make strategic decisions. Visualizations can display key performance indicators, game patterns, and game anomalies. Coaches can also use these tools to create team progress reports and track performance.
4. Game Analysis Software Game analysis software is a computer program that can be used to track data related to any sporting event. It is widely helpful in various sports, such as baseball, basketball, soccer, and football. Game analysis software has traditionally been used to track and record data related to team performance. Nowadays, game analysis software is leveraging the rise of machine learning to provide detailed insights from data. It can be used to analyze game patterns, the performance of individuals, and team strategies. These programs can automatically record statistics related to the game. They can also track and record data related to the performance of individuals or specific segments of the team. For example, a baseball team can use game analysis software to record the pitcher’s performance statistics. Depending on the type of software sports use, machine learning also helps to generate visualizations related to the data. Coaches can use these visualizations to understand performance anomalies and make strategic decisions.
4. Drone-based Video Analysis For more than a decade, football clubs have been using video analysis to review performance and identify areas of improvement. However, this process was tedious and time-consuming. Nowadays, machine learning has become increasingly crucial in video analysis.
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This has led to the creation of drone-based video analysis, which is more effective and efficient. In sports, drones with built-in cameras can be used to capture high-quality videos of team training sessions, which help to review performance and identify areas for improvement. Drones can also be used to create video montages of games by capturing key moments from the players' perspective. This form of video analysis provides a new view and can be used to identify patterns and game anomalies.
5. Mixed Reality Environment Development With the rise of machine learning, mixed reality is being used to create immersive experiences for players. This technology creates a virtual environment using computer graphics and projects it onto a real-world setting. Mixed reality environments can be used to simulate playing conditions, host a game at a particular venue, and train in difficult weather conditions. They can also be used to train players in virtual settings, such as practicing passing in a closed environment. Conclusion The rise of machine learning is transforming sports in ways that have never been seen before! It is opening up new opportunities for data analytics by combining different data sets to create a more accurate representation of real-world events. With the help of machine learning, sport is evolving into an immersive experience where fans can be a part of the game through virtual and augmented reality. Spectators can experience the game like never before as they can be integrated into the game. This will be an incredible way of engaging fans and expanding the sport's reach. About the Author Azgari Lipshy writes about technology, yoga, and her solo travels worldwide. She is a degreed quota-carrying technology industry sales and account management professional with progressive territory growth for enterprise and channel sales. She is an annual achiever who has worked as an individual contributor, key account manager, and sales organization team leader.
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shrutins · 2 years
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An Indian Survivorship Bias Example
Crystal Planet - An Indian Survivorship Bias Example
Many of you must have seen that drawing of a World War II plane with red dots on it. It explains Survivorship bias, a bias that statistician Abraham Wald figured out. Pic: source Simply put, survivor bias is our tendency to view a situation or pattern as a comprehensive representative sample, often without considering what might be missing from that picture. For instance, the WWII plane with red…
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yodabestgifts · 2 years
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teesummer75 · 2 years
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(via Trust Me I'm a Statistician, funny and humorous t-shirt is perfect for people who love the word statistics Fitted T-Shirt by Teesummer75)
This funny and humorous t-shirt is perfect for people who love the word statistics. Makes the perfect gift for a new graduate, or anyone who loves their job and uses huge amounts of data to figure out theoretical, applied statistics to private and public sectors.
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