Best YouTube Channels For Machine Learning And Data Science

Hi Everyone. Day by Day, a huge amount of learners are connecting with us. Recently, a lot of new learners have requested us regarding the best YouTube channels for machine learning, data science, and artificial intelligence.

So, we decided to dig as much deeper as possible and come up with the best collection for all. After a lot of research,

We have collected some of the most popular and widely recommended machine learning and data science YouTube channels.

Top YouTube Channels For Machine Learning, Deep Learning, And Data Science

• Two Minutes Papers
• Sentdex
• StatQuest with Josh Starmer
• Corey Schafer
• FreeCodeCamp
• Yannic Kilcher
• Alexander Amini
• Data School
• Steve Brunton
• Data Professor

What’s AI By Louis Bouchard

Whats AI is one of the most active YouTube channels that explains and explores various aspects of artificial intelligence (AI).

The channel covers machine learning, natural language processing, computer vision, and more, with engaging and informative videos.

Expert interviews and videos on trending AI topics provide insightful perspectives on the latest developments in the field.

Perfect for beginners and experienced viewers alike, the Whats AI YouTube channel is a must-have resource for anyone interested in AI.

Yannic Kilcher

Yannic Kilcher focuses on explaining deep learning research papers. He introduces the paper and describes the novelty behind it.

Yannic 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.

Two Minutes Papers

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 minutes (almost) long videos explaining a research paper. If you are keen into the research field then you may want to check out the following series.

Lex Fridman

Lex Fridman Podcast is one of the most popular and best machine learning YouTube channels. The host of this YT channel is an AI researcher working on autonomous vehicles, human-robot interaction, and machine learning at MIT and beyond.

Lex talks with his guests about everything related to AI and ML. He interviewed personas such as Elon Musk, Nick Bostrom, Andrew Ng, Yann LeCun, Vladimir Vapnik, Matt Botvinick, and many more.

Alexander Amini

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

The channel offers Deep Learning material from an MIT University course, packed with videos. It is the best course or one of the best courses out there.

Abhishek Thakur

Abhishek Thakur is a chief data scientist, the 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 but not least, Kaggle is 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.

Sentdex

If you are someone who likes to understand everything from scratch then this is by 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 including Python Programming, Development, Machine Learning, etc.

StatQuest with Josh Starmer

Statistics and data analysis are a lot easier than most people think. The videos are short, and informative and make a great source for those who are starting out in the field of data science, and also for those who need to have a quick look at concepts before an interview.

TensorFlow

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.

Jeremy Howard

Jeremy Howard is a data scientist who has an educational background in philosophy but later out of 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.

Henry AI Labs

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, and more.

Preserve Knowledge

Preserve Knowledge shares selective presentations from conferences such as NeurIPS and interviews with machine learning legends like Geoffrey Hinton and Yann LeCun.

The Channel covers videos on advances in mathematics, computer science, and artificial intelligence.

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Corey Schafer

The alternative of Sentdex and freecodecamp for learning Python for machine learning. On his channel, you will find a huge library of information on Python, computer science fundamentals, and plenty of other tips and tricks that will help you in your AI or ML career.

ComputerPhile

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.

Leo Isikdogan

Leo is a researcher at Intel, and he introduces his work in the channel. In addition to that, Leo showcases concise research topics into practical, real-world applications.

He covers topics on machine learning and computer vision. He also creates educational how-to machine learning tutorials.

Code Emporium

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.

Arxiv Insights

Xander Steenbrugge is a machine learning researcher at ML. His YouTube channel summarizes the key points about machine learning, reinforcement learning, and AI in general from a technical perspective while making them accessible to a bigger audience.

DataSchool

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.

Stanford Online

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 playlists like Statistics and Data Science, Deep Multi-Task and Meta-Learning, Machine Learning with Graphs, Deep Learning and Natural Language Processing, and more.

Steve Brunton

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”.

Chai Time Data Science

Led by Sanyam Bhutani, a X Kaggle Grandmaster and Machine Learning Engineer at HO.ai, this channel is must follow after Lex Fridman’s YouTube channel.

On his channel, you will find videos like “Learning Data Science – Journey to becoming Kaggle Grandmaster”, etc.

Computer Science Crash Course

As you can guess from the name, Crash Course is a YouTube channel that consists of different kinds of series that cover important topics related to several fields in an intense manner

SpringBoard

Springboard channel is all about data science. There are data science and machine learning talks with experts from leading companies, a Women in Data Science playlist with interesting conversations with women who work in ML, deep dives, or mini-lessons.

FreeCodeCamp

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 own projects.

Deep Gaming AI

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 an expert, you’ll find interesting information on his channel.

Machine Learning TV

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

Luis Serrano

Looking into AI education 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.

3Blue1Brown

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 Blue 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.

Daniel Bourke

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.

Robert Miles

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.

The Week in Machine Learning and Artificial Intelligence

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.

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Data Professor

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.

On his channel, you will get Data Science content consisting of explainer videos and practical tutorials.

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.

Brandon Rohrer

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.

Allen Institute for AI

The core mission of The Allen Institute for Artificial Intelligence (AI) is to contribute to humanity through high-impact AI research and engineering.

Andreas Kretz

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.

Hsuan-Tien Lin

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

Tech with Tim

This channel is for those who want 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, it’s a must-follow YouTube channel after Sentdex for Python.

Machine Learning University

Created in, 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, and more.

Brandon Foltz

He specializes in teaching, curriculum design, and course design and has experience of almost years in Data Science.

His tutorials focus on introductory statistics, and finite mathematics along with management science, operations management, and basic accounting.

Aladdin Persson

The author covers videos mostly related to machine learning and deep learning, but sometimes he shares his other activities with viewers.

To learn more about this best YouTube channel for machine learning, visit the below-given link.

Khan Academy

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, and Linear Algebra.

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 lifestyles in Silicon Valley and makes data science more accessible.

Python Programmer

He has been using Python as a scientist for years. Apart from this, you will also get the best tips, books, and course recommendations on Python, Data Science, and Machine Learning.

Google Cloud Tech

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.

Chris McCormick AI

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

Keith Galli

Keith Galli is a recent graduate from MIT. He makes educational videos about data science, programming, and more. To learn more about this best YouTube channel for data science, visit the below link.

The Artificial Intelligence Channel

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.

Deep Lizard

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

Jordan Harrod is a graduate student at Harvard and MIT researching brain-machine interfaces and machine learning for medicine.

In her channel, she explores the way we humans interact with AI and algorithms, and their uses in our everyday lives.

Weights & Biases

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, the GitHub platform, and more.

Artificial Intelligence – All in One

There are excellent courses available on the channel Artificial Intelligence – All in One which is taught by experts like Andrew Ng, Nitish Srivastava, and Geoffrey Hinton.

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.

Jeff Heaton

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

Ken Jee

Ken Jee has been in the data science field doing sports analytics for many years and has worked in companies ranging from startups to Fortune 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

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

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.

Codebasics

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 help students learn and acquire skills from the world’s top data scientists.

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.

Kilian Weinberger

The channel is made by an 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

Krish Naik is a Lead Data Scientist, pioneering in Machine Learning, Deep Learning, and Computer Vision.

He explains each and every topic with many real-world scenarios right from theoretical knowledge to the practical aspect of it.

365 Data Science

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

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.

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.

Marin Stats Lectures – R Programming and Statistics

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.

Statistics of DOOM

The 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 the playlist on this channel includes “Advanced Statistics with Dr. B”, “Learn R + Statistics”, “Learn Python + Statistics” and more.

Steven Skiena

Steven Skiena is one of the distinguished computer/ data science professors and the director of the AI Institute of Stony Brook.

Some of the well-known playlists on his channel include “Analysis of Algorithms”, “Data Science Course” and more.

Hope this list will be helpful to you. If you know any other YouTube channel for Machine Learning, Deep Learning, Artificial Intelligence, or Data Science, leave the name in the DM of any of our social media accounts.

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