100+ Best YouTube Channels To Follow For Artificial Intelligence, Machine Learning & Data Science in 2021

Best Artificial Intelligence, Data Science And Machine Learning YouTube Channels

Hi Everyone. Day by Day, a huge amount of learners are connecting with us. Recently, a lot of new learners have DMed us regarding top youtube channels to follow for machine learning, data science and artificial intelligence. So, we decided to dig as much deeper as possible and come up with a permanent post solution. After a lot of research, We have collected some of the best AI, ML, Deep Learning and Data Science youtube channels that can help you in learning everything from Programming languages (Python or R) to Maths (Linear Algebra, Calculus, Probability, Statistics) to Basic Fundamentals (Intro to AI, ML and DS) to Intermediate & Advanced Concepts.

If you find any channel missing, please share it with us. We’ll continue to add to the list with your feedback. 

70+ Best Artificial intelligence, Machine Learning, Deep Learning & Data Science Youtube Channels are as follows


Yannic Kilcher focuses on explaining deep learning research papers. He introduces the paper and describes the novelty behind it. He reads the paper meticulously to you, and he tells it like a story. He covers topics on deep learning architectures, natural language processing and reinforcement learning. The level of details is incredible. Yannic breaks up a dense paper into parts and uncovers each idea paragraph by paragraph. He explains and scribbles on the screen to walk you through the thought process. When there are concepts not covered by the paper, he references additional resources to reveal any concepts outside of the paper.


Two Minute Papers is an awesome channel for anyone who loves to be updated with the latest research going on in the Machine Learning domain. Two Minute Papers make 2 minutes (almost) long videos explaining a research paper. If you are keen into research field then you may want to check out the following series


Lex Fridman Podcast is one of the most popular and best machine learning YouTube channels. Its host is an AI researcher working on autonomous vehicles, human-robot interaction, and machine learning at MIT and beyond. Lex talks with his guests on everything related to AI and ML. But he’s not limiting himself only to this theme. He talks about other things that can inspire, teach, and push you to exceed your limitations. Insights from all the superstars, influencers, and leading scientists from the world of machine learning. He interviewed such personas like Elon Musk, Nick Bostrom, Andrew Ng, Yann LeCun, Vladimir Vapnik, Matt Botvinick and many more.


This channel is for the Deep Learning geeks or for the one who wants to start with Deep Learning and understand it in few weeks, at least that is what the professors are claiming.

The channel offers Deep Learning material from an MIT University’s course, packed in 42 videos. It is the best course or one of the best courses out there. The materials start to form the basics and work it way up to how to use it in real-world projects using Reinforcement Learning techniques, NVIDIA, IBM, Google’s software and more. 


Abhishek Thakur is a chief data scientist, world’s first “four times Kaggle grandmaster” . He completely focuses on applied machine learning, deep learning, and data science. He is a great problem solver. His videos on YouTube are just pure magic and it will help you solve problems like a pro. He has also recently published a book on “How to Approach any Machine Learning Problem” which is an absolute masterclass.

👉 Kaggle 

Last by not least, Kaggle, Your Home for Data Science. If Kaggle is where you do and learn, then the Kaggle YouTube channel is where you watch and learn. There are “how-tos” coding tutorials on deep learning, building dashboards, and data processing. They have live coding sessions on how to solve data science problems.

For updates on the latest NLP research, there is a playlist, Kaggle Reading Group. She reads and discusses NLP research papers. She will explain every single paragraph, diagrams, code, mathematics equations to you. If you are a new researcher or new to academic papers, watch these videos, and you will learn how to dissect papers.

👉 Sentdex

If you are someone who likes to understand everything from scratch then this is by the far the best YouTube channel to learn about Machine Learning. Harrison Kinsley who is the owner of the YouTube channel Sentdex educates people about various technologies included Python Programming, Web-development, Machine Learning, etc. If you are keen to learn every algorithm’s workflow like how does bias and intercept get updated at every epoch, or how to implement a given machine learning algorithm from scratch then you must check the following series made by Harrison Kinsley himself.


Statistics and data analysis are a lot easier than most people think. Because computers do the math for you, the most important thing is to understand the concepts and main ideas, and which are made pretty simple by the host Josh Starmer, who makes learning statistics fun. The videos are short, informative and make a great source for those who are starting out in the field of data science, and also to those who need to have a quick look at concepts before an interview.


This channel is one of the best out there. There are tons of video tutorials explained by the best of the best engineers, the ones who developed TensorFlow. It has tons of videos of conferences where many other engineers, professors, and researchers present their projects. If you are interested in Deep Learning, this is the channel for you. One of the best playlist on their channel is Machine Learning - Zero to Hero by Laurence Moroney.


Jeremy Howard is a data scientist who has an educational background in philosophy but later out of the curiosity he harnessed himself with the knowledge of stats and programming to build the most effective and easy-to-use library for deep learning tasks fastai. Making deep learning models was never that easy before fast.ai came into the picture. If you are someone who wants to build deep learning models that complete the task in the field of computer vision like image segmentation, image classification, image restoration with the minimal coding, and maximum results then the fast.ai is suitable for you. You might wanna binge watch the following series to get a good grasp of deep learning with the help of the fast.ai library.


This channel makes videos summarizing popular ideas in deep learning and artificial intelligence. This includes topics such as computer vision, natural language processing, graph embeddings, generative adversarial networks, reinforcement learning, and monthly updates related to the most happening research papers.


Preserve Knowledge shares selective presentation from conferences such as NeurIPS and interviews with machine learning legends like Geoffrey Hinton and Yann LeCun. Preserve Knowledge covers videos on advances in mathematics, computer science, and artificial intelligence. Its goal is to bring together the world's leading researchers and students in computer science and related fields.



Alternative of Sentdex and freecodecamp for learning python for machine learning. On his channel, you will find a huge library of information on Python, Git, development environments, terminal commands, SQL, programming terms, JavaScript, computer science fundamentals, and plenty of other tips and tricks that will help you in your ai or ML career.


A sister channel of Numberphile, one of the finest channels on Youtube which hits the nail from the very first second. They produce short videos packed full of concepts communicated through wit and wisdom. The host plays the role of the audience and asks questions that trouble amateurs, thus making it an interactive experience. The videos focus primarily on the science behind how computers work. This knowledge is crucial for learning concepts like computer vision and computational powers of GPU.


Leo is a researcher at Intel, and he introduces his work in the channel. In addition to that, Leo showcases and concise research topics into practical, real-world application. He covers topics on machine learning and computer vision. He also creates educational how-to machine learning tutorials.


Code Emporium covers topics from everything new and interesting in Machine Learning, Deep Learning, Data Science, and Artificial Intelligence. The host with his quick guides to ML aims to build a community of data science geeks.


Xander Steenbrugge is a machine learning researcher at ML6. His YouTube channel summarizes the key points about machine learning, reinforcement learning, and AI in general from a technical perspective, while making them accessible for a bigger audience. This channel is also not active since 2020 but the past videos made by the author are awesome.


Kevin Markham who is the founder of dataschool.io and the owner of the YouTube channel Data School educates machine learning enthusiasts. You can get a comprehensive understanding of machine learning regardless of your educational background thanks to Kevin‘s teaching. Kevin also makes videos that cover several tools like pandas, NumPy, scikit-learn that will help you build your machine learning models. You can binge-watch the following series created by Kevin to get a good grasp of the machine learning fundamentals.


Stanford University has been at the forefront of innovation for nearly a century. The school has a tradition of pursuing multidisciplinary collaboration aimed at solving the most pressing global problems. On their channel, you will find playlist like Stastics and Data cScience, Deep Multi Task and Meta Learning, Machine Learning with Graphs, Deep Learning and Natural Language Processing and more.


Steven Brunton is an associate professor of mechanical engineering and applied mathematics and a data science fellow at the University of Washington in Seattle. To learn all the fundamentals of data science and machine learning, Check out his well known playlist "Intro to Data Science". In addition to this, he has also covered linear algebra used in data science and zipped it in the playlist. 


Led by Sanyam Bhutani, a 2x Kaggle Grandmaster and Machine Learning Engineer at H2O.ai, this channel is must follow after Lex Fridman youtube channel. On his channel, you will find videos like "Learning Data Science - Journey to becoming Kaggle Grandmaster", "Computer Vision & Research at the Dynamic Vision and Learning Group", "Journey to becoming Kaggle Kernels Grandmaster", "The Numerai Story - Building the largest hedge fund" and more. 


As you can guess from the name, Crash Course is a YouTube channel which consists of different kinds of series which cover important topics related to several fields in an intense manner. These topics include but not limited to sociology, computer science and statistics. The Computer Science series also have videos about Computer Vision and Machine Learning & Artificial Intelligence.



Springboard channel is all about data science. There are data science and machine learning talks with experts from the leading companies, Women in Data Science playlist with interesting conversations with women who work in ML, deep dives, or mini lessons. It’s a great machine learning YouTube for those who want to learn how to get a job, what to pay attention to, and find out what it means to work in data science.


FreeCodeCamp is an incredible non-profit organization. It is an open-source community that offers a collection of resources that helps people learn to code for free and create their projects. In addition to this, you can also find playlist related to machine learning and data science like Deep Learning with Pytorch, Data Analysis with Python, Data Science 10Hrs Small Course, Videos on Tensorflow, Python and more.  


This channel is run by data scientist Chintan Trivedi. His goal is to create awareness around positive use-cases of AI in an entertaining and understandable fashion. No matter whether you are an AI novice or expert, you’ll find interesting information on his channel. On his channel, you’ll find videos on a wide range of applications of Deep Learning in games, like generating 3D content, creating photo realistic animations of faces and bodies of characters, generating stories and dialogues, creating game-playing agents, etc.


This youtube channel is all about machine learning (ML). It contains all the useful resources which help ML lovers and computer science students gain a better understanding of the concepts of this successful branch of Artificial Intelligence. 


Looking into AI education and you are sure to come across Udacity, an online school dedicated to teaching the technically curious about machine learning, AI, deep learning and much more. As head of Data Science content at Udacity, Luis Serrano is an excellent source for those who want to explore some major components of AI. His love for AI shows in his videos while discussing complex topics that are found in mathematics, machine learning, and artificial intelligence. The channel is also a great source for those who want a small taste of the Udacity program.


Mathematics will play a major role in your path to AI or ML or Data Science. If math was not your forte in school than 3 Blue 1 Brown is for you. With its engaging visuals, the channel’s creator works hard to convey complex mathematical topics in the simplest ways for viewers. Topics like probability and statistics will be crucial to your understanding of AI, ML and Data Science. 


Going back to school to learn anything is expensive. Nevertheless, the resourceful YouTuber, created his own at home AI curriculum, using the excellent resources available online, and began his path towards AI mastery. For those looking to make the career switch into AI, Daniel Bourke’s YouTube channel is a great source of inspiration and a healthy reminder that it is possible. His energy is infectious and great place for those looking to forge their own path towards a career in artificial intelligence.


Responsibly pushing the advancement of AI will be a major theme and point of discussion on your artificial intelligence path. Robert Miles is a great place to learn about Artificial Intelligence Safety Research. As stated by Robert Miles, “AI safety research is humanity's best attempt to foresee the problems AI might pose and work out ways to ensure that our AI developments are safe and beneficial.”


The Week in Machine Learning & AI (podcast) brings you the week's most interesting and important stories from the world of Machine learning and artificial intelligence.


Data Professor is a YouTube channel of Chanin Nantasenamat. He has done a Ph.D. and is an Associate Professor of Bioinformatics at a Research University where he leads a research laboratory that harnesses data science for unraveling the hidden knowledge of big data in medicine. Here you will get Data Science contents consisting of explainer videos and practical tutorials. The main aim of the channel is to help students and data enthusiasts learn about Data Science and how it can be used to make sense of data.

👉 DeepMind

This is also one of the best channel where you can learn about AI. Artificial intelligence could be one of humanity's most useful inventions. DeepMind aims to build advanced AI to expand their knowledge and find new answers. By solving this one thing, they believe they could help people solve thousands of problems. Some of the best playlist on their youtube channel are Deep Learning Lecture Series, Reinforcement Learning Course and more.


Brandon Rohrer owns one of the greatest interactive tutorial channels on YouTube. He is a data scientist at Facebook and is clearly aware of what he is talking about. He cuts down on the jargon surrounding data science and conveys the concepts with intuitive real-world examples. If you had to watch one channel to learn and know the language of a data scientist, then it should be this one.



The core mission of The Allen Institute for Artificial Intelligence (AI2) is to contribute to humanity through high-impact AI research and engineering. Understanding the role of AI in society and how artificial intelligence could tackle some of the problems people deal with every day are all important topics on your quest to become an AI engineer. 


Andreas Kretz is a data engineer and founder of Plumbers of Data Science. He broadcasts live tutorials on his channel on how to get hands-on experience in data engineering and videos with questions and answers about data engineering with Hadoop, Kafka, Spark, and so on.

👉 MITCBMM

CBMM aims to create a new field — the Science and Engineering of Intelligence — by bringing together computer scientists, cognitive scientists, and neuroscientists to work in close collaboration. This new field is dedicated to developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.


Hsuan-Tien Lin covers videos on Machine Learning for Modern Artificial Intelligence, Data Structures and Algorithms, Machine Learning Foundations/Techniques, and more. 


This channel is for those who wants to start their Machine Learning journey with Python. Tech With Tim is a brilliant programmer who teaches Python, game development with Pygame, Java, and Machine Learning. He creates high-level coding tutorials in Python. So, its a must follow youtube channel after Sentdex for Python.


Created in 2016, Machine Learning University (MLU) is an initiative by Amazon with a direct objective: To make machine learning accessible to anyone, anywhere, anytime. Currently, You can find four courses available on their youtube channel: Computer Vision, Natural Language Processing, Tabular Data and Decision Trees & Ensemble Methods. Learn the principles of machine learning through hands-on practical examples.


He specializes in teaching, curriculum design, and course design and has an experience of almost 16 years in Data Science. His tutorials focus on introductory statistics, finite mathematics along with management science, operations management, and basic accounting. It is amongst the few YouTube channels focusing on the theoretical understanding of statistics and mathematics used in data science in depth.


The author covers videos mostly related to machine learning and deep learning, but sometimes he shares his other activities with viewers. Some of his recent videos are "I built an AI that destroys Watermark", "ProGAN implementation from Scratch", "Is Machine Learning course by Andrew Ng on Coursera worth it in 2021?" and more.


Khan’s Academy is not traditionally an AI channel, but there are tons of stuff that you need to know before you start with AI. The channel produces high-quality mathematics content In fields like Calculus, Statistics, Probability, Linear Algebra. All of this is very important in order to understand the concepts of Artificial Intelligence and later Machine Learning and Deep Learning algorithms.

👉 Joma Tech

Joma Tech is a YouTuber who makes videos to help people get into the technology industry. He worked for large technology companies as a data scientist and software engineer. Based on his experience, he makes videos of interviews with experts and lifestyle in Silicon Valley and makes data science more accessible.


He have been using python as a scientist for years. According to him, Python is an excellent language for data science and Machine Learning and on his channel he teach the basics of python and how to use it when you work with data and machine learning models. Apart from this, you will also get best tips, books and courses recommendation on Python, Data Science and Machine Learning.


YouTube videos to help you build what’s next with secure infrastructure, developer tools, APIs, data analytics, and machine learning. This ML YouTube channel lets you learn about how things work at Google, how to become a better data scientist, and all things Google.


This channel is amazing for in-depth tutorials on advanced machine learning topics and specifically recommended to those who are quite more serious for Kaggle competitions!


Keith Galli is a recent graduate from MIT. He makes educational videos about data science, programming and more. 


This channel is not active but the videos added in the past on this channel are like must watch. The Artificial Intelligence Channel, is excellent for those who are curious about what thought leaders have to say about AI and its future roles in society. Speakers on the channel tackle everything under the large umbrella of AI and much more including, technological singularity, transhumanism, anti-aging, synthetic biology, space exploration, technological unemployment, and more



The videos focus primarily on the workings of the popular machine learning models from the root level. The viewers get to know about training models, hyperparameter tuning, and other challenges that surface while building an ML pipeline.


Jordan Harrod is a graduate student at Harvard and MIT researching brain-machine interfaces and machine learning for medicine. She has always fascinated by the way AI is being integrated into our lives, from social media to the military. In her channel, she explores the way we humans interact with Ai and algorithms, and their uses in our everyday life. Jordan is great at conveying complex topics such as AI to the mass audience and makes it easier to understand. Check out her playlist on AI!


Weights & Biases is a company that develops tools for Machine Learning. On their channel you can find presentations by important people in AI and related fields. The topics on their channel include: Machine Learning, Kaggle data science competitions, NLP, Autonomous vehicles, Deep (Reinforcement) Learning, Hyperparameter tuning, the TensorFlow software library, Github platform, Timeseries forecasting, and much more…


There are excellent courses available on the channel Artificial Intelligence – All in One which is taught by experts like Andrew Ng, Nitish Srivastava, Geoffrey Hinton. The courses on Artificial Intelligence – All in One covers topics like text mining, text retrieval, and search engines, Neural Networks, and Computer Vision.

👉 MIT OCW

Similarly, as Stanford University, MIT is also sharing their courses like Mathematics for Big Data and Machine Learning, Matrix Methods in Data Analysis / Signal Processing & Machine Learning, Machine Learning for Healthcare and more on their youtube channel.


He makes very helpful videos on various topics in feature engineering and deep learning and helped a lot of learners in their machine learning careers.


On their channel, you can find tutorials for R language which is very useful for statistical computing, Time Series forecasting using Python which is one of our favorite AI subfields as well as other useful Data Mining techniques like web scraping, and explanation of different Data Science concepts.

👉 Ken Jee

Ken Jee has been in the data science field doing sports analytics for the last 5 years and has worked in companies ranging from startups to fortune 100 organizations. When he first started learning Data science, he found that there were very few resources to learn from, so as a way of giving back to society, he is making videos on YouTube to share his experiences and to help others break into the field. 


Welch Labs has resources related to Math, Science and Machine Learning. They make fun and practical short video series with accompanying resources that cover topics from the high school level to the graduate school level.


Code Bullet is a place for all things related to computer science. If you want a mix of nerdy and awesome then look no further, because Code Bullet has plenty of both. 

On Code Bullet, you will find content on programming, AI, algorithms, and the science behind AI. The AI on this channel learns to do many interesting tasks, like flying a plane, walking, solving a Rubik’s Cube, and playing chess, pacman and flappy bird.


The goal of this channel is to fulfill the vision by teaching the programming in most simplest and intuitive manner. Dhaval teaches simple programming, data science, data analytics, artificial intelligence, machine learning, data structures, software architecture etc on his channel.”

👉 MLConf

MLConf is created to host the thought leaders in Machine Learning and Data Science to discuss their most recent experience with applying techniques, tools, algorithms and methodologies to the seemingly impossible problems that occur when dealing with massive and noisy data. 

👉 Datacamp

Known for his youtube playlist R Tutorials, this channel channel promotes full-fledged tutorials that helps students learn and acquire skills from the world’s top data scientists. They advocate the principle of applying what the students learn immediately after each lesson, ensuring retention and understanding of the topic at hand.

👉 PyData

PyData is a community for developers and users of open source data tools. It organizes monthly meetups and annual conferences where experts give talks about the current data science trends. The talks given are recorded and uploaded to their YouTube channel.


The channel is made by Associate Professor of Machine Learning at Cornell University. He covers videos like Supervised Learning, K-Nearest Neighbors, Boosting, Bagging, Empirical Risk Minimization, Bias Variance and more on his channel. 


Krish Naik is a Lead Data Scientist, pioneering in Machine Learning , Deep Learning , and Computer Vision . He is the complete package. He explains each and every topic with many real-world scenarios right from theoretical knowledge to the practical aspect of it. He has a pool of projects in his arsenal & an active contributor to the community. Krish is the next go-to guy who delivers sincerely day after day.


They offer tutorials on Python, Data Science, Machine Learning, Deep Learning, and many more topics. Their videos also include information about the trends and educational requirements for various job roles in the data science industry.


David Langer’s channel publishes brilliant videos on every aspect of Data Science. His videos cover the entire lifecycle of a Data Mining project — data wrangling, data exploration, data cleaning, data visualization, data analysis, feature engineering, and machine learning. The main programming language taught is the R programming language and he touches on the many libraries involved such as ggplot2, random forest, and rpart.

👉 Jabrils

Jabrils is just a guy who knows very little but wants to know a lot, as said in his bio. His videos mainly compromise of the use of AI for different applications, such as making an AI app to save lives and programming an AI drone to follow him. He also makes videos on programming.


The R Programming and Statistics tutorials available on this channel are originally created for Master's and PhD students at UBC by Professor Mike Marin. No worries as this turotrials are now available for everyone on the internet. These videos provide a comprehensive and completely free set of tutorials for introductory and intermediate concepts in Statistics and Statistics with R. 


Author has created this YouTube channel to help people learn statistics by including step-by-step instructions for SPSS, R, Excel, and other programs. Must check playlist on this channel includes "Advanced Statistics with Dr B", "Learn R + Statistics", "Learn Python + Statistics" and more.  


Steven Skiena is one of the distinguished computer/ data science professors and the director of the AI institute of Stony Brook. Professor Skiena has a very easy-to-understand approach to explaining complex concepts mixed with a light sense of humor to keep things light. Some of the well known playlist on his channel includes "Analysis of Algorithms", "Data Science Course" and more.

Hope this list will be helpful to you. If you know any other Best YouTube channels on Machine Learning, Deep Learning, Artificial Intelligence or Data Science, leave the name in the DM of any of our social media accounts. And stay tuned with us because our next article will be on 100+ best & regularly updated AI and ML blogs & communities you should follow in 2021.
AI/ML
April 18, 2021
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