Best YouTube Channels to Learn Machine Learning

Jeremy Kallowitz
|
November 27, 2022

Best YouTube Channels to Learn Machine Learning

Introduction

Machine learning is a field of study that combines facts and software development into one job with the primary goal of making statistical models. Machine learning has changed the world in a concise amount of time. Since there has been an enormous rise in the amount of data, we need to learn how to process and get ideas from it.

The internet has already changed how education used to be delivered. It has never been easier to learn a new skill at home. YouTube has been a top-rated platform during this time. YouTube doesn’t yet have a set course when it comes to machine learning. There are a lot of YouTube channels about Machine Learning that will teach you the basics and help you understand new research.

Best 6 YouTube Channels for Machine Learning

The Sentdex

If you like to learn about things from scratch, this is the best YouTube channel for learning about Machine Learning. Harrison Kinsley is the owner of the YouTube channel Sentdex, and he teaches people about a lot of different things, like Python programming, web development, and machine learning. It's good to check out Harrison Kinsley's series on how each algorithm works. You can learn about how bias and intercept change at each epoch or how to build a machine learning algorithm from scratch.

Kaggle

If you want to learn about machine learning and get involved in the Kaggle community, you should go to the Kaggle channel on YouTube. On the channel, you can also get tutorials and helpful advice. People interested in learning more about machine learning can check out this channel on YouTube.

Deep Learning Al

Here, you can find videos from Coursera's machine learning programmes and videos from past events. DeepLearning. On Coursera, AI has made high-quality AI programmes that have a lot of people around the world interested in them. By giving people a place to learn and forming a close-knit group, DeepLearning. AI has become the place for anyone who wants to work in AI.

The Arxiv

Arxiv Insights is one of the best. It's the job of Xander Steenbrugge to teach students about basic things like neural networks, reinforcement learning, variational autoencoders, and policy gradient approaches, among others. Some videos are not suitable for beginners because they use a lot of technical languages. He also makes it easier to do this because he walks you through every step. In addition, the Arxiv Insights series has great educational content that can help you learn more about machine learning and deep learning.

The Knowledge Shelf

Machine Learning in Hindi is something you might want to learn about. It is a channel about technology that teaches people how to do things like Raspberry Pi, data science, machine learning, and Arduino. Around 150 videos are in the playlist called "Machine Learning." It starts with an introduction to the subject. All of the lectures are in Hindi.

Lex Fridman Podcasts

Lex Fridman Podcast is a well-known and well-liked YouTube machine learning channel. It is run by an AI researcher at MIT, who works on things like autonomous cars, human-robot interaction, and machine learning. People who come to Lex talk to him about AI and machine learning. He talks about more things that might motivate, teach, and empower you to push your limits. He spoke to people like Elon Musk, Nick Bostrom, Andrew Ng, Vladimir Vapnik, and many other people.

Final Thought

YouTube has a lot of videos that can help you improve your skills. These videos can help anyone, no matter how good they are at what they do if you want to learn differently. In addition, you can learn about machine learning by going to websites on the internet. Coursera is a great place to take machine learning classes. You can sign up for any of the best Coursera machine learning courses on Coursera with ease.
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Jeremy Kallowitz

I have a passion for online education, I've managed to build a successful career without even finishing high school by learning using a wide variety of online resources. I love to share information and learn from others!
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