Are you looking to learn machine learning? There are plenty of free and paid learning resources on the Internet to learn the skills you need for machine learning and artificial intelligence. If you prefer to learn for free, YouTube has hundreds, if not thousands, of videos on machine learning at your disposal. You can learn everything from deep learning concepts to analytical programming.
Dozens of YouTube channels and online resources can help you understand machine learning. Whether you are new to machines or a seasoned professional, YouTube learning channels can provide you with the educational materials to learn. Read below to explore the best machine learning YouTube channels in 2022.
What Is Machine Learning?
Machine learning is a general term relating to computer systems that can imitate human intelligence. It is an essential subset of artificial intelligence and data science that focuses on building systems that learn and improve their performance from experience without further programming. Machine learning and data science are two high-demand skills in 2022.
The computer systems learn by observing data, looking for patterns, and making decisions in the future based on the data they previously analyzed. Notable examples of the application of machine learning are recommendation engines, fraud detection, business process automation, and malware threat detections.
How to Learn Machine Learning for Free
Online courses, tutorials, and classes are valuable teaching platforms to learn machine learning. Some of these platforms may give you a short glimpse into an introduction to machine learning. Others may be more generous and give you a deep dive. YouTube hosts a lot of free machine learning channels that can give you a better understanding of machine learning through educational videos.
The 10 Best Machine Learning YouTube Channels to Follow
- Arxiv Insights
- Machine Learning with Phil
- Two Minute Papers
- Lex Fridman
- Yannic Kilcher
- Jeremy Howard
- Tech With Tim
- Machine Learning TV
Established on December 16, 2012, Sentdex is one of the most popular YouTube channels for machine learning and already boasts over one million subscribers. Harrison Kinsley of Sentdex teaches machine learning, data analytics, web development, data visualization, robotics, and finance and investment.
You’ll also find educational playlists compiled by Harrison Kinsley himself of different machine learning projects. If you are new to machine learning or love to learn from scratch, this is an excellent YouTube channel to get started.
Arxiv Insights is one of the best machine learning YouTube channels on this list. Xander Steenbrugge introduces students to basic concepts such as neural networks, reinforcement learning, variational autoencoders, and policy gradient methods.
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Some of the videos are not suited for beginners as they contain some technical jargon. However, it gets easier as Xander explains everything in a step-by-step format. Additionally, the Arxiv Insights series offers great learning content that can help you increase your knowledge of machine learning and deep learning.
Machine Learning with Phil is another YouTube channel where you can learn artificial learning and deep learning techniques. The instructor, Phil Tabor, is a machine learning engineer on a mission to create one million artificial intelligence engineers with his videos.
He teaches the basic concepts of reinforcement learning such as soft actor-critic in PyTorch, Robotic Control with TD3, and TensorFlow frameworks. You can also see other programming tutorials on natural learning processing, policy gradient methods, and deep Q-learning.
Two Minute Papers offers a simple explanation of recent discoveries in machine learning. It is also an excellent channel that summarizes the latest research in artificial intelligence and machine learning. The host, Károly Zsolnai-Fehé, uploads videos weekly and provides an overview of the content of the research paper with links and references.
DeepLearningAI was created by the co-founder of Coursera, Andrew Ng, to provide students with the necessary tools to build their expertise in artificial intelligence from the basics to an advanced application. This machine learning channel contains free video tutorials from Coursera’s deep learning courses. It also includes a playlist of NPL learner community events.
The Lex Fridman podcast channel ranks among the best machine learning channels to familiarize yourself with artificial intelligence. Its host, Lex, is an artificial intelligence researcher at MIT focusing on human-robot interaction, machine learning, and autonomous vehicles.
Lex also invites superstars, scientists, and famous personalities to his videos. He has hosted guests such as Yann Lecun, Elon Musk, Vladimir Vapnik, Nick Bostrom, and Andrew Ng.
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Yannic Kilcher is an artificial intelligence researcher who makes informative videos on research papers related to machine learning, deep learning models, deep reinforcement learning, and the issues and impact of AI in society.
He explains and breaks down the content of research papers to make it easier for the viewers to understand. If you have difficulty understanding research papers, the Yannic Kilcher YouTube channel is a great place to learn.
Jeremy Howard is a popular data scientist and creator of fast.ai, a library for deep learning tasks. His YouTube channel contains straightforward videos on topics like machine learning, deep learning, and the use of the fast.ai library. If you want to learn how to build deep learning models, you can learn from this channel.
Tim started this YouTube channel during his first year as a computer science student in 2014, providing video tutorials on programming, software development, machine learning, game development, and other tech subjects.
Students looking to get into machine learning can learn from this channel’s machine learning and AI tutorials playlist. This channel also offers valuable educational content such as tips for aspiring software developers, general advice, and programming shortcuts.
Machine Learning TV offers learning resources that help students better understand deep learning algorithms, neural networks, and natural language processing concepts. The video tutorials and playlists on this channel start from scratch and gradually get more complex until you learn how to build your own deep learning algorithm. The video lectures also introduce students to deep learning features and applications.
Machine Learning Tutorials: Best Videos About Machine Learning
Video tutorials can do a lot more than teach you the basics of machine learning. They can also give you deeper insights into machine learning practices and introduce you to worthwhile projects that you can use to improve your programming skills. Below are some of the best videos about machine learning on the Internet.
If you are interested in building a neural network, check out this series. Harrison Kinley explains how to build neural networks from scratch and create neurons, layers, activation functions, optimization, backpropagation, and other infrastructure with no libraries. This video teaches neural networks at a deeper level.
In this video, Kelvin Markum introduces students to machine learning, application, categories, and examples of machine learning. Students also learn how to set up Python for machine learning and use Scikit-learn and Jupyter Notebook libraries.
This video series taught by Andrew Ng is a complete course by Stanford University. In 112 videos, you start from the basics of machine learning and gradually move to advanced concepts like linear regression, linear algebra, differential equations, logistic regression, regularization, clustering, and support vector machines. Students also learn how to build machine learning systems.
This video is ideal for beginners who find it difficult to understand the technical aspects of deep learning. In this video, the teacher simplifies the complex information and codes using relatable examples that do not involve much mathematics and coding.
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CS50 offers a more formal and structured teaching experience on machine learning base concepts, Python for machine learning, and data processing. You would also learn how to implement machine learning models in Python and locate datasets for your models.
Other Ways to Learn Machine Learning Online
YouTube offers plenty of videos that can help you in your learning path to improve your skills. Regardless of their academic background and expertise, anybody can benefit from these videos. If you prefer other forms of learning, below are a few alternative ways to learn machine learning.
- Coding Bootcamps. These short, intensive programs provide practical training for students to begin their tech careers. You can become a machine learning professional by enrolling in a machine learning bootcamp.
- Massive Open Online Courses (MOOCs). You can find many free machine learning courses on the Internet. Udemy, Coursera, edX, and Udacity are notable examples of elearning platforms that offer massive open online courses to students. You can quickly sign up for one and learn machine learning skills online.
- Books. If you prefer to read instead of watch videos, you could learn through machine learning books. Notable examples of machine learning books that can help you are The Hundred-Page Machine Learning Book by Andriy Burkov, Programming Collective Intelligence by Toby Segaran, and Machine Learning by Tom M. Mitchell.
- Online Degrees. Another way to learn machine learning is to pursue an online degree at a university. All you have to do is find a school that offers a machine learning program that meets your budget.
Should You Learn Machine Learning on YouTube?
Yes, you should use YouTube videos to help you learn machine learning. YouTube offers numerous videos, playlists, and series on machine learning, data science, and artificial intelligence. It is a good choice for students who want to delve into machine learning but cannot afford the cost of courses, coding bootcamps, and traditional degrees.
Machine Learning YouTube Channels FAQ
The best artificial learning YouTube channels for artificial intelligence are Yannick Kilcher, Sentdex, Tech with Tim, and Arxiv Insights. All of the options listed above have informative contents that can be invaluable to your study.
We recommend that you are familiar with statistics, programming languages, probability, calculus, and linear algebra. Knowledge of these subjects offers a solid foundation for machine learning.
Yes, it is. However, this issue is gradually being resolved through online courses and books written in a more straightforward, easy-to-digest format. It requires analytical skills, creativity, and persistence.
Yes, it is. YouTube uses machine learning and artificial intelligence to perform several tasks such as dealing with fake news, testing AI-generated video chapters, automatically removing illegal content, adding video effects, and enforcing age restrictions.
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