Artificial Intelligence by CrashCourse

In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum. By the end of the course, you will be able to:

* Define, differentiate, and provide examples of Artificial Intelligence and three types of Machine Learning: supervised, unsupervised, and reinforcement
* Understand how different AI and ML approaches can be combined to create compelling applications such as natural language processing, robotics, recommender systems, and web search
* Implement several types of AI to classify images, generate text from examples, play video games, and recommend content based on past preferences
* Understand the causes of algorithmic bias and audit datasets for several of these causes
* Reason about how specific advances in AI may impact our world and your life, for better or for worse

Crash Course Artificial Intelligence Preview.
What Is Artificial Intelligence? Crash Course AI #1.
Supervised Learning: Crash Course AI #2.
Neural Networks and Deep Learning: Crash Course AI #3.
Training Neural Networks: Crash Course AI #4.
How to make an AI read your handwriting (LAB) : Crash Course Ai #5.
Unsupervised Learning: Crash Course AI #6.
Natural Language Processing: Crash Course AI #7.
Make an AI sound like a YouTuber (LAB): Crash Course AI #8.
Reinforcement Learning: Crash Course AI#9.
Symbolic AI: Crash Course AI #10.
Robotics: Crash Course AI #11.
AI Playing Games: Crash Course AI #12.
Let's make an AI that destroys video games: Crash Course AI #13.
Humans and AI working together: Crash Course AI #14.
How YouTube knows what you should watch: Crash Course AI #15.
Let’s make a movie recommendation system: Crash Course AI #16.
Web Search: Crash Course AI #17.
Algorithmic Bias and Fairness: Crash Course AI #18.
Cats Vs Dogs? Let's make an AI to settle this: Crash Course Ai #19.
The Future of Artificial Intelligence: Crash Course AI #20.