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Anjuum Khanna – Whatsapp New Privacy Policy Update: Concerned about Privacy
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Anjuum Khanna – Whatsapp new privacy updates says, “Just like your messages, WhatsApp calls are end-to-end encrypted so WhatsApp and third parties can’t listen to them.” WhatsApp alerted users to a new privacy policy effective February 8, that expressly says that WhatsApp will share user data with its parent company Facebook. Users earlier had an opt-out option, which won’t be available now. If you choose not to provide the information needed to use a feature, you will be unable to use the feature. There has been a lot of conversation of people on the internet about Whatsapp sharing their user information (such as call details, account information, undeliverable messages and media forwarding, usage and log information, device and connection information such as model, operating system, browser, IP address, battery level, signal strength, app version, identifiers unique to Facebook products, location information, and cookies etc) with Facebook.
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Anjuum Khanna – Whatsapp new privacy updates says, “Just like your messages, WhatsApp calls are end-to-end encrypted so WhatsApp and third parties can’t listen to them.” WhatsApp alerted users to a new privacy policy effective February 8, that expressly says that WhatsApp will share user data with its parent company Facebook. Users earlier had an opt-out option.
visit : https://anjuumkhanna.in/
#anjuum khanna blogs#anjuum khanna tech blogger#anjuum khanna consultant#anjuum khanna#whatsapp new policy update
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Anjuum Khanna – Whatsapp New Privacy Policy Update: Concerned about Privacy
Anjuum Khanna – Whatsapp new privacy updates says, “Just like your messages, WhatsApp calls are end-to-end encrypted so WhatsApp and third parties can’t listen to them.” WhatsApp alerted users to a new privacy policy effective February 8, that expressly says that WhatsApp will share user data with its parent company Facebook. Users earlier had an opt-out option, which won’t be available now. If you choose not to provide the information needed to use a feature, you will be unable to use the feature. There has been a lot of conversation of people on the internet about Whatsapp sharing their user information (such as call details, account information, undeliverable messages and media forwarding, usage and log information, device and connection information such as model, operating system, browser, IP address, battery level, signal strength, app version, identifiers unique to Facebook products, location information, and cookies etc) with Facebook.
Whatsapp’s new privacy updates push users to use signal private apps, Telegram etc. One tweet from Elon musk is all it takes to make a messaging app trending in our country. Signal Private Messenger app by Signal Foundation has started trending in India at No. 10 positions In just one day of his Tweet. We all know the reason for WhatsApp’s latest privacy update and it’s affiliation with Facebook. Elon Musk Tweets on Twitter and says, “Use Signal”. Also many users started using new alternatives of whatsapp such as viber, wire, Kik, etc.
This New WhatsApp policy update is only for those country people who live outside the European Region. This privacy policy is rolling out globally, however, users located in the European Union received only one bullet point in their notification. The WhatsApp users in 27 European countries will not have their data shared with third parties due to its tougher privacy norms.
Whatsapp’s new privacy means, “Your privacy is impacted. Whatsapp holds some data about you so does Facebook. Those data are in different silos. If the silos talk to each other, the company knows more. For example, it may learn that a given phone number ( used for WhatsApp ) is associated with the FB account (which may have a different name and/or different number associated). From February 8, will also be able to the accurate location data if you give WhatsApp permission to use this. FB can compare your contacts on Whatsapp, the interactions, and the WhatsApp groups you belong to, and compare those to FB contacts and FB activity. Plus, if you use WhatsApp transactions services, FB may be able to associate bank account, or card details that Whatsapp would pick up. ”
If you don’t agree with the new policy, then you’re no longer a user of Whatsapp. So, for your privacy, you have a second alternative too, use secure applications, those I mentioned above. But one minor issue is a network (connections).
About Anjuum Khanna – Tech Blogger
Anjuum Khanna helps leaders and teams discover the magic of conversations (leads). He is specialist in Fintech, eCom Startups, BPOs, Telecom & D2H, spearheaded domestic & Global Business Operations, etc fields. In his free time he loves reading and blogging.
More Blogs: Anjuum Khanna – Tesla to Start India Operations in Mid-2021, Elon Musk Says Model 3 Bookings to Open in January
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2021 is coming with new highlight news which is “Tesla to Start India Operations in Mid-2021”. After a significant delay of four years, it at long last appears to be that Tesla will go to the Indian car market by June 2021.
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Anjuum Khanna – Tesla to Start India Operations in Mid-2021, Elon Musk Says Model 3 Bookings to Open in January
2021 is coming with new highlight news which is “Tesla to Start India Operations in Mid-2021”. After a significant delay of four years, it at long last appears to be that Tesla will go to the Indian car market by June 2021.The current Minister for Road Transport & Highways and the Minister of Micro, Small and Medium Enterprises Nitin Gadkari confirms this news, he said “Tesla will start operations first with sales and then maybe look at assembly and manufacturing based on the response to the cars”. Also Gadkari said “India is going to become a number 1 manufacturing hub for auto in five years,” This is the best good news for Indians. According to Anjuum khanna, TESLA’s new project in India will help to build new career opportunities for youth. India soon will become a manufacturing hub. This will give global recognition to the Indian economy.
In October, Tesla CEO Elon Musk had recommended that the organization will come to India in 2021 while reacting to a tweet from India. “Next year for sure” Musk had answered when a handle called Tesla Club India checked with him about the organization’s progress in India.
Elon Musk’s Tesla has become one of the leading companies in the electric car market and it is great for its products to appear in India and other major markets. Tesla will launch his new Model “Tesla Model 3”. Tesla will begin its innings in India with Model 3. The entry-level Tesla electric car gets a lithium-ion battery with dual electric motors and offers a range of up to 518 km on a single charge. According to Cardekho, Expected launch of this “tesla model 3” is March, 2021. The electric sedan could be priced from Rs 60 lakh onwards. Many reviewers said “I am really waiting for tesla to launch in my country’s market. Tesla as an electric vehicle is really going to make changes in India by reducing pollution. This car is very smart and the safest car in the world. This car has autopilot technology and the best-looking interior. The interior design is very classic and clean. Tesla Model 3 is an electric four-door sedan developed by Tesla. The Model 3 Standard Range Plus version delivers an EPA-rated all-electric range of 250 miles (402 km) and the Long Range versions deliver 322 miles (518 km). At least one Model 3 was driven 606.2 miles (975 km) on a single charge. Electric range: : 250 miles (402 km) Standard Range Plus; 322 miles (518 km) Long etc.”
Musk had first made his expectations clear about entering the Indian market in 2016, and the organization had likewise started pre-bookings for a short time in those days. In any case, because of vulnerabilities of the EV strategies and market in the nation, the dispatch was required to be postponed for a very long time. At the appropriate time, the organization needed to stop bookings, yet now the individuals who made bookings before will be the initial ones to get the Model 3 when launched next year.
The report also mentioned that the American EV company is also seeking to invest in India. They are planning to open a plant in India and are currently discussing possibilities of investing in a manufacturing facility/ Research and Development Centre either in the states of Kerala or Maharashtra. But those plans might take a year or two to become a reality.
Be that as it may be, local production would not just make the Tesla products more moderate in India, it will likewise be in accordance with the Government of India’s electrification project of the automobile industry by 2030. For the present, Tesla won’t choose any vendors however will sell the vehicles straightforwardly with extraordinary spotlight on digital deals. Soon till 2030, electrified, autonomous, connected and shared will lead to a clear increase in the rate of innovation within the automotive industry – Anjuum Khanna Added.
About Tech Blogger – Anjuum Khanna
Anjuum Khanna is a tech consultant and blogger. He wrote much content on the latest technology such as Artificial intelligence and subsets of AI, innovative customer experience, Robotics, Future Changes in BPO/KPO Industry, Automation etc. Anjuum Khanna is always coming up with new ideas about how to improve business operations.
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Anjuum Khanna – Top 3 Natural Language Process projects for Beginners
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Anjuum Khanna – Natural Language Processing or NLP is an AI segment worried about the connection between human language and PCs. At the point when you are a novice in the field of programming advancement, it may very well be interesting to discover NLP extends that coordinate your adapting needs.
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Anjuum Khanna – Natural Language Processing or NLP is an AI segment worried about the connection between human language and PCs. At the point when you are a novice in the field of programming advancement, it may very well be interesting to discover NLP extends that coordinate your adapting needs. Along these lines, we have examined a few guides to kick you off. Thus, on the off chance that you are a Machine Learning amateur, the best thing you can accomplish is work on some NLP ventures.
Visit : https://anjuumkhanna.in/
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Anjuum Khanna – Top 3 Machine Learning Projects for Beginners
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Anjuum Khanna – In the IT sector, it is more helpful to work on practical projects than theoretical knowledge. It is important to get theoretical knowledge, but in the end, this knowledge we will apply in our projects. Working on real world projects helps us with how the algorithm works, if we made a slight change to this code how it would affect the projects.
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Anjuum Khanna – Top 3 Machine Learning Projects for Beginners
Anjuum Khanna – In the IT sector, it is more helpful to work on practical projects than theoretical knowledge. It is important to get theoretical knowledge, but in the end, this knowledge we will apply in our projects. Working on real world projects helps us with how the algorithm works, if we made a slight change to this code how it would affect the projects.
In this blog post, you will discover how beginners like you can gain incredible progress in applying Machine learning to real-world problems with these awesome machine learning projects for beginners recommended by Anjuum Khanna.
Top 3 machine learning projects for beginners that cover the core aspects of machine learning such as regression, unsupervised learning. In all these machine learning projects you will start with real world datasets that are freely accessible.
Top 3 Machine Learning Projects for Beginners
1) Sales Forecasting using Walmart Dataset
This project is available on github, created by Gagandeep Singh Khanju, This is a Regression based modelling project to forecast the sales of Walmart. This project was created on Jupyter notebook, and for this project he used the “Walmart Store Sales Forecasting” dataset, which was available on Kaggle. Walmart is probably the biggest retailer worldwide and it is significant for them to have precise conjectures for their deals in different departments. Since there can be numerous components that can influence the deals for each division, it becomes basic that he distinguish the key factors that have an impact in driving the deals and use them to build up a model that can help in estimating the deals with some exactness. According to him “ In this project, he conducted multiple linear regression to predict the future sales. There were several different factors that he analyzed in his regression model starting with a full model with all the variables and then moving towards a reduced model by eliminating insignificant variables. He used several different exploratory analyses to identify the key variables for his regression equation such as correlation plots, heatmaps, histograms etc.”
2) BigMart Sales Predictions
This project is available on github, created by Gurudev Aradhye. This is a Regression based modelling project which can be tried to solve using two approaches XGBoost with hypertunning and Random forest with hypertunning. This project was created on Jupyter notebook, packages which he used in the project are pandas, numpy, sklearn, matplotlib and for this project you can use the “BigMart Sales predictions” dataset, which was available on Kaggle. According to him, “These two algorithms had their own importance and uses. The XGBoost is used in many competitions. Here hypertunning is performed with Greedy Search which initially takes some initial parameter values then it will search for parameter values which increases the accuracy of the model. Some details about problems are, The goal is to find item sales at Outlet of different types & located at different locations, It includes tasks such as data visualization, cleaning and transformation, feature engineering.
3) Music Recommendation system
This project is available on Github, created by Sarath Sattiraju. This is a simple Music Recommendation System based on an unsupervised learning system which analyses multiple users playlists and gives recommendations for a particular playlist of a user. This model is a user-to-user based recommendation system. The dataset considered for this project is the music analysis dataset FMA. This project was created on Jupyter notebook, Clustering algorithms were used to provide predictions for the data. Recommendations were given based on the frequent genre, frequent artist, top 10 songs.
About Anjuum Khanna, Tech Blogger
Anjuum Khanna a strategic leader with a proven track record of over 19 years in spread heading profitable ventures within Fintech, eCom Startups, BPOs, Telecom & D2H, spearheaded domestic & Global Business Operations with large team sizes. Championed change management & enterprise wise automation initiatives within organizations in India & Middle East. Presently working as Vice President at Mswipe Technologies.
Explore more Blogs:
Anjuum Khanna – How Robotics, AI and Automation Are shaping the future of World
Anjuum Khanna – 4 AI Projects That Cover All Basics
Anjuum Khanna – Top 5 most popular machine learning tools
visit : https://anjuumkhanna.in/
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Anjuum Khanna - How Robotics, AI and Automation Are shaping the future of World
Anjuum Khanna– Robotics, AI, and Automation will be impacting Every Industry. Right now, everyone knows how these three fields Robotics, AI and automation are booming day by day. AI and automation are constantly changing our world, including the way we work.
Today, the movement of robotization appears to be practically startling because of the quickly expanding modernity of AI. The Forbes AI record shows that the volume of yearly funding interest in AI is multiple times more noteworthy now than in the year 2000. These monster steps in AI abilities may seem to evacuate our presumptions about how work completes yet are truly a continuum of advancement. Understanding and outfitting this is basic to both the worldwide economy and, on a profoundly close to home level, how we as a whole earn enough to pay the bills. Take example, Sophia, the AI-powered robot who was infamously granted citizenship by Saudi Arabia, Tesla Driverless cars etc.
Will Robots rule the World in future?
Everyone is confused: will robots replace humans? If this happens in future then, as a consequence of a melting down middle class, there will be mass poverty and political instability. Actually, Robots are a reality today in industry and they will show up in broad daylight spaces in more intricate shapes than robot vacuum cleaners. Be that as it may, in the following twenty years, robots won’t be human-like, regardless of whether they may look like people. Rather they will stay modern machines. But Surely as per the experts, there are chances that 60 percent of businesses can be automated in the next five years. In the course of the most recent couple of years, robots and PCs have taken colossal jumps in their exhibition and abilities and have supplanted more human positions. There are some jobs that were replaced and are being replaced or assisted by robots and computers. For Example, Assembly-line and factory workers, Bus drivers, taxi drivers, and truck drivers,
Phone operators, telemarketers, and receptionists, Cashiers, Bank tellers and clerks, Packing, stockroom, and warehouse moving, Information gathering, analysts, and researchers, Journalists and reporters, Pilots, Bartenders, Stock traders, Postal workers, Doctors, anesthesiologist, and surgeon robots, Soldiers and guards, Travel agents, Chefs and cooks, Bomb squad, Typist, Switchboard operator, Bowling ball pinsetter, Film projectionists, Home and small garden, Hotel staff and room service, etc.
How will Artificial Intelligence affect our future?
According to experts, PwC estimates that “Artificial intelligence technologies could increase global GDP by $15.7 trillion, a full 14 percent, by 2030.” Artificial intelligence (AI) is a wide-running tool that empowers us to all more adequately coordinate data, analyze data, and utilize the subsequent experiences to improve decision-making. Phenomenal advances in AI happen each day. For example, robots and driverless vehicles are getting progressively normal. These advances are driving another wave of financial advancement, understanding a portion of the world’s most troublesome issues and giving answers for probably the most significant difficulties in mankind’s set of experiences. AI has the potential to transform many sectors such as information technology, telecommunications, transportation, traffic management, health care, education, criminal justice, defense, banking and agriculture. To understand its maximum capacity, governments need to make public arrangements that cultivates AI advancement while alleviating unintended cultural outcomes.
Artificial intelligence is affecting the fate of for all intents and purposes each industry and each individual. Artificial intelligence has gone about as the main driver of arising advances like Big Data, machine learning and IoT, and it will keep on going about as an innovative trend-setter for a long time to come.
How will Automation affect our future?
Automation is unavoidable, yet there are numerous potential results. As opposed to attempting to think about how it will all shake out, the present chiefs can set up their associations and their representatives for an uncertain future. That requires pondering what aptitudes and capacities should be retained and which ones can be mechanized. We see an expanding level of eagerness to take the best of the two universes. Consider these four likely future situations to get your creative juices streaming, and begin contemplating the future recently. As per our knowledge, “As the nature of work changes with automation, millions of people may need to switch occupations and acquire new skills.” Automation will uproot numerous positions throughout the following ten to 15 years, however numerous others will be made and considerably more will change.
About Anjuum Khanna, Tech Blogger:
Anjuum Khanna is one of India’s foremost tech enthusiasts and is the mentor of multiple tech start-ups. He has led many global as well as domestic organizations with team sizes in the hundreds, spearheading the tech field in India and around the world.
Anjuum Khanna is a manager of the people and believes in people-oriented management. These quirky qualities along with a thirst for the latest technology in AI and ML have led Anjuum Khanna to become an industry leader at a very young age.
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Anjuum Khanna - What is the future of Artificial Intelligence in the next 10 years?
Anjuum Khanna- Through Artificial Intelligence has consistently been entirely unsurprising because of its utilization in mechanical technology, the situation has changed a great deal. The eventual fate of AI includes progressed psychological frameworks equipped for doing what Machine Learning can't. They will shrewdly and fluidly cooperate with human specialists, furnishing them with articulate clarifications and answers, even at the edge of the organization or in automated gadgets. Artificial Intelligence is affecting the eventual fate of basically every industry and each individual. Artificial Intelligence has gone about as the primary driver of arising advances like Big data, Machine learning, Natural Language processing and IoT, and it will keep on going about as an innovative trendsetter for a long time to come.
Additionally, the year 2020 would be viewed as an exciting ride for all the AI devotees around the globe. Probably the most widely recognized patterns that we will prone to observe in the year 2020 would include:
1. The presentation of IoT into AI followed by Blockchain to chip away at dynamic just as basics like versatility, security, and the sky's the limit from there.
2. Artificial intelligence to work in the media and media outlet with colossal likeliness to create stories, take a shot at scriptwriting, and so forth
3. Artificial intelligence will be widely utilized in network safety frameworks to forestall information penetration.
4. Artificial intelligence will get more normal into self-driving vehicles just as the assembling business. for Eg tesla.
5. Artificial intelligence will turn continuous with all the virtual corporations for the client to focus on.
6. Security insurance, facial acknowledgment, and AI partners will develop.
Examples of Artificial Intelligence shaking up Business as usual!
Robotics:
Industry pioneers actually can't concede to what the expression "robot" exemplifies. Robot cists comprehend robots to be programmable machines that complete errands, yet no one can pinpoint precisely where that definition closes.
The present AI-controlled robots, or if nothing else those machines considered accordingly, have no common general knowledge, yet they are fit for tackling issues and "thinking" in a restricted limit.
For eg. Sofia, Tesla, teaching Japanese students English, Emotech, iRobot and many.
Healthcare:
Artificial intelligence is ending up being a distinct advantage in medical services, improving basically every part of the business from robot-helped medical procedures to shielding private records against digital crooks. Medical services have since quite a while ago experienced soaring clinical expenses and wasteful cycles. Artificial intelligence is giving the insulted business a truly necessary makeover.
AI-empowered remote helpers are diminishing pointless emergency clinic visits and giving attendants 20% of their time back all the while; work process colleagues are helping specialists let loose 17% of their timetables; drug organizations are exploring life saving meds in a small amount of the time and cost it customarily takes; and AI is in any event, being utilized to help carry medical services to immature countries.
For eg. Pathai, Pager, Atomwise, Enlitic, Qventus and many.
Finance:
AI and the finance business are a match made in paradise. The monetary area depends on exactness, continuous announcing, and preparing high volumes of quantitative information to decide, all intelligent machines excel in. As the business observes AI's effectiveness and exactness, it is quickly executing automation, chatbots, adaptive intelligence, algorithmic trading, and machine learning into financial processes.
One of the greatest monetary patterns of 2018 is the robot-counsel, a mechanized portfolio director. These robotized consultants use AI and calculations to filter information in the business sectors and anticipate the best stock or portfolio dependent on inclinations. In abundance the executive's firms are turning towards Robo-counsels, not just on the grounds that it spares both the organization and customer time and cash, however, it likewise creates some phenomenal returns.
For eg. Betterment- Robo-advisor pioneer, Alphasense, Numerai, and many.
Travel and Transportation:
Artificial intelligence is turning into a super pattern in the travel and transportation ventures. From making travel game plans to proposing the most proficient course home after work, AI is making it simpler to get around.
Travel organizations are particularly profiting by pervasive cell phone use. Over 70% of clients claim they book stumbles on their telephones, survey travel tips and examination neighborhood milestones and eateries. One out of three individuals state they've utilized a virtual travel associate to design their impending outings.
AI-controlled chatbots are quickly changing the travel business by encouraging human-like association with clients for quicker reaction times, better reserving costs and even travel suggestions.
For eg. google smart maps, hipmunk and many.
Not all things are all despondency but rather setting ourselves up for what everything means and how it will influence daily life, work, and public foundations like medical services, training, and law requirement is maybe similarly as significant as the exploration and item advancement itself.
More Blogs:
Anjuum Khanna-Natural language processing and their impact on communication
Anjuum Khanna-4 AI Projects That Cover All Basics
Anjuum Khanna- Why Artificial Intelligence Matters
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Anjuum Khanna-We don’t routinely consider the complexities of our own languages. It’s an instinctive conduct used to pass on data and significance with semantic signals, for example, words, signs, or pictures.
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Anjuum Khanna - Natural language processing and their impact on communication
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Anjuum Khanna: We don’t routinely consider the complexities of our own languages. It’s an instinctive conduct used to pass on data and significance with semantic signals, for example, words, signs, or pictures. It’s been said that language is simpler to learn and comes all the more naturally in puberty since it’s a repeatable, prepared conduct—much like strolling. Furthermore, language doesn’t adhere to an exacting arrangement of rules, with endless exemptions like “I before E besides after C.”
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Anjuum Khanna - Natural language processing and their impact on communication
Anjuum Khanna-We don’t routinely consider the complexities of our own languages. It’s an instinctive conduct used to pass on data and significance with semantic signals, for example, words, signs, or pictures. It’s been said that language is simpler to learn and comes all the more naturally in puberty since it’s a repeatable, prepared conduct—much like strolling. Furthermore, language doesn’t adhere to an exacting arrangement of rules, with endless exemptions like “I before E besides after C.”
What falls into place without any issues for people, in any case, is incredibly hard for PCs with the measure of unstructured information, absence of formal standards, and nonappearance of genuine setting or plan. That is the reason AI and man-made consciousness (AI) are picking up consideration and force, with more prominent human reliance on figuring frameworks to convey and perform undertakings. Also, as AI gets more refined, so will Natural Language Processing (NLP). While the terms AI and NLP may invoke pictures of advanced robots, there are now essential instances of NLP at work in our day by day lives. Here are a couple of conspicuous models.
Text analytics
Text analytics changes over unstructured text information into significant information for investigation utilizing diverse semantic, measurable, and AI strategies.
While assessment examination sounds overwhelming to brands- – particularly on the off chance that they have a huge client base- – an instrument utilizing NLP will commonly scour client associations, for example, web-based media remarks or audits, or even brand name notices to perceive what’s being said. Examination of these collaborations can assist brands with deciding how well a showcasing effort is doing or screen moving client issues before they conclude how to react or upgrade administration for a superior client experience.
Extra ways that NLP assists with text analytics are catchphrase extraction and discovering structure or examples in unstructured text information.
There are huge uses of NLP in the advanced world and this rundown will develop as organizations and ventures grasp and see its worth. While a human touch is significant for more complicated interchange issues, NLP will improve our lives by overseeing and computerizing more modest errands first and afterward complex ones with innovation advancement.
Email Filters
Web indexes use NLP to surface applicable outcomes dependent on comparable pursuit practices or client aim so the normal individual finds what they need without being a hunt term wizard.
For instance, Google not just predicts what famous inquiries may apply to your question as you begin composing, yet it takes a gander at the entire picture and perceives what you’re attempting to state instead of the specific inquiry words. Somebody could put a flight number in Google and get the flight status, type a ticker image and get stock data, or a mini-computer may come up while contributing a mathematical problem. These are a few varieties you may see while finishing an inquiry as NLP in hunt relates the uncertain question to a general element and gives valuable outcomes.
Data Analysis
Natural language abilities are being incorporated into data analysis work processes as more BI merchants offer a natural language interface to data perceptions. One model is more brilliant visual encodings, presenting the best representation for the correct undertaking dependent on the semantics of the data. This opens up more open doors for individuals to investigate their data utilizing natural language proclamations or question pieces composed of a few keywords that can be deciphered and doled out as significant.
Applying language to examine data upgrades the degree of openness, however brings the obstruction down to analytics across associations, past the normal network of experts and programming engineers.
Digital phone calls
We as a whole hear “this call might be recorded for preparing purposes,” however infrequently do we can’t help thinking about what that involves. Ends up, these chronicles might be utilized for preparing purposes, if a client is oppressed, yet more often than not, they go into the database for a NLP framework to gain from and improve later on. Robotized frameworks direct client calls to an assistance agent or online chatbots, which react to client demands with supportive data. This is a NLP practice that numerous organizations, including huge media communications suppliers have put to utilize.
About Anjuum Khanna, tech Blogger–
Anjuum Khanna‘s career is dedicated in understanding customer behaviour as I strongly believe that that’s the driver for positive experience and delight. It’s very intriguing why a customer behaves and I am amazed to see some large organizations fail to understand that, or build products not required by the customers. I strongly recommend principles of “Human centric design” whilst designing products.
More Blogs
Anjuum Khanna-4 AI Projects That Cover All Basics
Anjuum Khanna – Top 5 Most Popular Machine Learning Tools 2020
Anjuum Khanna- The Key Difference Between Artificial Intelligence and Machine Learning
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Anjuum Khanna - 4 AI Projects That Cover All Basics
Anjuum Khanna– As we have already learned about Machine Learning and Artificial Intelligence in the previous blogs, it is time we take the first step into the wonderful and exciting world of AI and ML!
The best way to start your AI journey would be to first learn the basics about what Artificial Learning is itself and then build a little knowledge of the software and tools needed in an Artificial Learning project.
Both of those topics are covered in Anjuum Khanna’s tech blog down below, and you can read up on them if you still haven’t!
Why Artificial Intelligence Matters
5 Tools For Artificial Learning For beginners
Now after getting a basic idea about what Artificial Intelligence is and the tools needed for AI, let us jump into some beginner projects for the new student of AI!
These projects are fairly easy and have the barest of all requirements. They are designed for beginners so don’t be intimidated by them; they are here to only expand your learning. A good attitude towards learning will be the best thing you can do for yourself in the field of AI. After all, you need to teach yourself to learn better before developing software that heavily relies on learning!
Face Filters
Face filters are fun for both the user and the creator. Not only do AI face filters keep your creative juices flowing, but they also teach you a great deal about how AI works in one of the most popular fields of Artificial Intelligence right now: Facial Recognition.
Yes, the face filters are silly and fun but the PictoBlox AI project establishes a sturdy base for facial recognition through AI in beginners.
It needs only a computer, a webcam, an internet, and the bundle by PictoBlox! It is extremely fun but also useful for a new student, so do check it out!
Download at PictoBlox
Basic AI Chatbot
It is of no surprise that chatbots are very popular these days. Most websites have their chatbots for the various services they offer. Believe it or not, AI chatbots are not that difficult to create and only a basic knowledge of Artificial Intelligence coding is required.
Designing chatbots is a great way to expand your thinking in the AI field and it will help you in further projects that will require complex knowledge of how Artificial Intelligence thinks and how it should be designed.
This simple AI Chatbot is also from PictoBlox and can be downloaded here.
Music Recommendation
Major platforms like Spotify and Apple Music use an AI to recommend its users’ music that they might like. And to a huge extent, it is a hit.
That’s why AI recommendations are on the rise not only in the music field but on other platforms as well as search engines and social media. So it is a good idea to get a solid base of AI recommendation algorithms under your belt.
It involves collecting and studying user data for a short amount of time and then you have to code an AI recommendation system in either Python or R, and then have to test it out.
You can download the AI recommendation project by Kaggle from its official website.
Recognizing Handwritten Digits
It is an absolute must for every Artificial Intelligence developer to have a deep knowledge of neural networks and how to properly implement it. The best way to test out your knowledge would be through recognition software.
As we have mentioned above, facial recognition software is extremely popular, but image recognition is the broader field. And an AI developer should be well versed with all the formats of the field.
MNIST’s text recognition software is a great way to understand the working of recognition software. The simple objective is to have a computer recognize handwritten digits and transform them into virtual numbers.
Download the package here.
With these 4 beginner projects complete, you will no longer be a beginner but have an intermediate knowledge of the base fields in AI development. A long road is still to go, as these projects have only very complex real-life implementation, but it is safe to say that your base will be established.
The most important thing about AI development is understanding what Artificial Intelligence means and what are the things that are required to develop an AI. So in addition to coding and projects, try to think about what AI means and what functions will it serve in our present as well as future society. Critical thinking is one of the most revered qualities in an AI coder!
About Anjuum Khanna
Anjuum Khanna is one of India’s foremost tech enthusiasts and is the mentor of multiple tech start-ups. He has led many global as well as domestic organizations with team sizes in the hundreds, spearheading the tech field in India and around the world.
Anjuum Khanna is a manager of the people and believes in people-oriented management. These quirky qualities along with a thirst for the latest technology in AI and ML have led Anjuum Khanna to become an industry leader at a very young age.
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