Breaking down the field of artificial intelligence. AI has exploded in popularity since the release of ChatGPT -- but many people are unaware of the field's breadth and scope. This video presents and explains each of the subfields of AI, providing a comprehensive map of the discipline.
00:00 Introduction
00:37 Fundamental Maths
00:52 Linear Algebra
03:15 Vector Calculus
05:21 Probability Theory
06:05 Methods
06:26 Optimization
07:18 Machine Learning
08:15 Supervised Learning
08:37 Unsupervised Learning
09:03 Reinforcement Learning
10:13 Deep Learning
11:11 Applications
11:44 Computer Vision
12:12 Natural Language Processing
12:34 Robotics
13:08 Computational Biology
13:34 Recommender Systems
13:55 Completed Map
ABOUT ME:
My name is Maxime and I’m an AI researcher. I studied at the intersection of AI and robotics for both my bachelor’s and master’s degrees at the University of California, Berkeley. I’m currently a research scientist in industry, and I was formerly at Berkeley Artificial Intelligence Research, one of the world’s foremost AI research groups.
I’ve worked on robotics, automated skin cancer detection, neural-network-based image compression, and human behavioral modeling.