AI Learning Made Easy: Top YouTube Channels to Follow

These channels offer a variety of content on different AI topics, from the basics to advanced concepts. They also use different teaching styles, so you can find one that works best for you. 

3Blue1Brown

Why: 3Blue1Brown is known by his visionary explanations with animations and geometrical explanations opening up so many doors into advanced AI more easily.

Fields: Deep Learning, Neural Networks, Machine Learning, Linear Algebra.

Dirk Zee

Dirk Zee, mixing the theoretical explanation with practical coding examples, speaks practically with a touch of idealism and will suit either complete beginners or fairly experienced learners.

Learning Objectives: Machine Learning Algorithms, Python programming, Data Science.

CS Dojo

This is because CS Dojo spans across a wide variety of tutorials, more biased towards problem-solving and coding challenges that really help in the application of notions of AI, and thus AI-related training.

Subjects: Data Structures, Algorithms, Machine Learning, Deep Learning.

Analytics Vidhya

Why: The channel focuses on data science and analytics with guided learning through tutorials, project-based learning in many spheres of AI.

Points of discussion: Machine Learning, Deep Learning, Data Visualization, Data Cleaning.

Two Minute Papers

Why: If you're looking for weekly updates on the latest in AI bleeding-edge research, Two Minute Papers has shorts on recent academic papers.

Research areas: advanced AI, deep learning, computer vision, and natural language processing.

Sentdex

Why: Sentdex has the best-detailed tutorials on both Python programming and AI in targeting its implementation.

Subjects: Python Programming, Machine Learning, Deep Learning, Game Development.

Corey Schafer

Why: Corey Schafer is quite renowned for making amazing tutorials on many programming languages and technologies, including AI.

Topics: Python programming, machine learning, web development, automation.

Alex the Analyst

Why: Alex The Analyst's tutorials are based on projects, delving deeply through actual, real-world practice in data science and analytics.

Topics: Data Analysis, Data Visualization, Machine Learning, Business Intelligence.

Other Considerations

Channel Choice: Learning Style- Consider your preferred way of learning and thinking. Some channels may think to explain things more graphically, while others tend to prefer a more text-based approach.

Interest in a Given Topic: If there's something you are interested in about AI, just search channels that cover the subject.

Experience Level: Select a channel depending on your level of experience, or get one that is closely related to it. Experience levels vary among different channels, ranging from beginner-oriented to expert-oriented. Browse through each of these channels taking into account your preferred learning method, and find the best resources that could get you into AI.