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Top 12 AI/ML Channels On Youtube To Kickstart 2020

Right now we are in the middle of one of the greatest transformations of pedagogical practices in the history of mankind. The Internet is to modern man what the printing press was to the Renaissance era.

And, with youtube, mastery is just a click away. The increasing popularity of YouTube has seen a sporadic shift of educators, students and experts from conventional pedagogy.

Here is a list of YouTube channels dedicated to the field of artificial intelligence (AI):

Two Minute Papers 

434K subscribers

24,869,570 views

https://www.youtube.com/watch?v=Wtz-bNywXBY

A new research paper on AI gets released every other day. It can be a small adjustment in the gradient descent method which improved accuracy by 0.5% or something big as GANs. Whatever be the number, Two Minute Papers ensures that the audience does not miss out on papers of relevance. This channel keeps the subscriber up to date with the latest, most significant advancements in the field of AI.

Sentdex 

784K subscribers

72,240,692 views

The channel’s host Harrison Kinsley conducts interactive coding sessions and walks the audience through every line of code, explaining the reason behind every single trivial error. These videos are a rich source of information for anyone who is serious about a career in data science. Sentdex brings back the fun to coding in a great way.

CodeEmporium

15.5K subscribers

829,581 views

CodeEmporium 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.

3Blue1Brown 

2.34M subscribers

104,966,150 views

3 Blue 1 Brown does it in one video what otherwise take 10 years of schooling — that is the visualization of the concepts. This channel’s creator has marvelled at conveying complex mathematical topics in the most intuitive ways possible. The series on calculus and neural networks have done wonders for the audience of any level of expertise. The teaching style is exemplary and is second to none. 

Computerphile 

1.53M subscribers

119,475,055 views

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.

Lex Fridman

198K subscribers

11,042,700 views

Lex Fridman is the Joe Rogan of the machine learning community. This is one of the fastest-growing Youtube channels that cover AI and ML. The host is a deep learning researcher from MIT who was famous for tutorials on computer vision models. In his videos, Fridman interviews giants of the industry from the likes of Schmidhuber to Elon Musk and gives his audience a rich source of content to know and understand the fascinating world of AI. 

Microsoft Research

132K subscribers

30,780,093 views

Microsoft research in AI has been touching many fields ranging from healthcare to economics. They also provide thought leadership to both business and engineering leaders in fields such as machine learning, artificial intelligence, and cloud computing. 

This channel introduces viewers to fundamental and groundbreaking researches.

Henry AI Labs

4.92K subscribers

129,831 views

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.

deeplizard

51.3K subscribers

3,709,455 views

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.

Brandon Rohrer

57.2K subscribers

3,047,920 views

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.

Center for Brains, Minds and Machines (CBMM)

19.7K subscribers

1,066,693 views

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 practise based on that understanding.

StatQuest with Josh Starmer

183K subscribers

8,472,531 views

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.

Analytics India Magazine

21K subscribers

1,724,846 views

Analytics India Magazine (AIM) is India’s leading online portal on analytics and related fields. We aim for the promotion and discussion of ideas and thoughts on business analytics from India’s perspective. The website was established with the aim to evangelize analytics in India through healthy discussion and idea dissemination on next-gen analytics within India.

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Picture of Ram Sagar

Ram Sagar

I have a master's degree in Robotics and I write about machine learning advancements.

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