YouTube channels are often the go-to place every time we need to know about something or learn something new. Here are the 5 best youtube channels for machine learning that one can visit.
Subscribers: 10.6 lakh
Harrison Kinsley who is the owner of the YouTube channel Sentdex educates people about various technologies including Python Programming, Web-development, Machine Learning, etc. If you are keen to learn every algorithm's workflow like how 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.
Subscribers: 24.3k
Phil Tabor is a machine learning engineer who creates educational videos in the domain of machine learning and deep learning. He has created a great playlist regarding Deep Reinforcement Learning tutorials where he is teaching the core concepts of reinforcement learning like deep deterministic policy gradients in TensorFlow 2, Soft actor-critics in PyTorch, Robotic Control with TD3, and many more.
Subscribers: 10.4 lakh
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 on the research field then you may want to check out the following series.
Subscribers: 88.1k
Kaggle channel is a spot-on YouTube where you can dive into the world of the Kaggle community, learn, and do your data science work. The channel offers videos with interviews with data scientists, lessons, and insightful tips. This is one of the best machine learning YouTube channels for everyone who wants to learn tricks, experiment, and implement new practices into their own work, no matter what environment you work in.
Subscribers: 56k
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.
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