[2022] 11 Best YouTube Channels for Machine Learning Beginners

YouTube is a great source of educational content and in recent years many channels have come up that are spreading knowledge of machine learning. If you are looking for some great content on machine learning, do check out these best YouTube channels for machine learning beginners.

Best YouTube Channels for Machine Learning Beginners

StatQuest with Josh Starmer

This channel focuses on creating videos on machine learning, data science, and statistics which are easy to understand by beginners. The main uniqueness of this channel is that concepts are explained with the help of animation along with an added dose of dry humor, which makes the learning more fun.


Sentdex is a very well known Python tutorial channel, but one of his most popular content is based on Machine Learning tutorials with Python. There is an entire playlist by him on Machine Learning, do check it out. He does a live hands-on on various machine learning topics.


Andrew Ng’s courses have a cult status among ML courses. After his successful course on machine learning, Andrew launched another course on deep learning and then released it for free on the official channel. In this course, he starts from the nut and bolts of neural networks and works his way up to deep learning in a very simple manner. (His machine learning course, is not on his official YouTube channel, hence not in our list)


Deepmind, now acquired by Google is the same company whose Reinforcement Learning model created a buzz after it created the legendary human champion, Lee Sudol, in the game of GO. They have a playlist on Reinforcement Learning in their channel which is one of the most comprehensive and simple to follow content for beginners.

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This is not a machine learning channel but a mathematics channel that explores the beauty of maths with the help of some creative animation. It, however, has a playlist of neural network which has one of the best animated explanation of how neural network works. The playlist is a must-watch for any machine learning enthusiast.

Krish Naik

Krish Naik is a Lead Data Scientist, who is making plenty of videos on machine learning and data science that are targeted to beginners. He maintains plenty of well-managed playlists on various topics of machine learning which makes it easier to navigate through content. And apart from tutorials, he also gives career advice to beginners who want to enter this field.


If you have just started out with deep learning and want to have a high-level understanding of many areas within deep learning, this is one of the best channels. All are explainer videos with animations and are fun to watch. The only unfortunate thing is that this channel is currently dead with no videos for the last couple of years. Yet, the content is evergreen and should be a must-watch if you are a beginner.

Data School

Data School is a channel that focuses on data science. It is targeted to beginners and the videos are easy to follow with great explanations. The channel has plenty of playlists which makes it easier to navigate through the old contents.

Yannic Kilcher

Yannic Kilcher is the fast-rising YouTube content creator in the AI space who stands apart from others for his videos that explains research papers. You will find plenty of videos on his channel that explains past landmark papers as well as the latest ones. This is the best YouTube channel for machine learning beginners who want to take a deep dive into research papers on ML.


As the name suggests, Deeplizard channel focuses on Deep Learning content and is quite useful for beginners. You will find a whole range of videos on Keras, PyTorch, CNN, Reinforcement Learning, etc that are explained in a crisp manner. All contents are organized in different playlists for easy navigation.


AIEngineering channel is run by Srivatsan Srinivasan who is a Chief Data Scientist by profession. You will not find the usual beginner level stuff on machine learning in his YouTube channel, instead, he tries to fill the gap by creating contents on lesser touched areas like ML deployment and serving, scaling of ML models, etc. His practical industry experience is quite evident in his videos and should not be missed out.


(Only those YouTube channels are listed here that are putting their own original content)

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