How Math makes Machine Learning easy (and how you can learn it)
The Math Skills that make Machine Learning easy (and how you can learn it)
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In this video, I will talk about what I believe to be the most important skill when learning Machine Learning, Data Science and AI: Math and Mathematical intuition.
I will explain why Statistics is the most important Mathematical Branch to get a good intuition for when studying Machine Learning and share a little “trick” with you on how to approach equations and formulas from Machine Learning Bootcamps instead of memorizing them, including an example.
I will then give you a list of core concepts from Probability, Statistics, Linear Algebra, Calculus and Machine Learning as a roadmap for your own studies as well as show you free online resources for where to learn all these skills.
👇🏻 Links Resources I mention in the Video👇🏻
Khan Academy
Statistics & Probability https://www.khanacademy.org/math/stat...
Linear Algebra https://www.khanacademy.org/math/line...
Differential Calculus https://www.khanacademy.org/math/diff...
An Introduction to Statistical Learning (In R or Python)
Book / PDF https://www.statlearning.com/
Youtube Playlist: • StatsLearning Lecture 1 - part1
Python Specific Youtube Playlist: • Statistical Learning: 1.1 Opening Rem...
3Blue1Brown / @3blue1brown
Chapters ###
00:00 - Intro: Why some people struggle and others excel at Machine Learning
00:30 - What ML and Data Science Bootcamps do wrong
01:07 - Mathematical Intuition for Machine Learning
01:52 - The most important Mathematical Branches for ML
02:05 - Why Statistics is the most important branch
03:40 - A “Trick” on how to think about Math and Formulas
04:08 - Example: Linear Regression
05:46 - Core Concepts from Probability and Statistics
06:19 - Core Concepts from Linear Algebra
06:35 - Core Concepts from Calculus
06:39 - Specific Concepts from Machine Learning
07:01 - The most important Concept in ML: The Bias Variance Tradeoff
07:30 - Free Online Resources to Learn Important Math Skills