Master Math for Machine Learning: Easy Tips & Learning Strategies 📊

The Math Skills that make Machine Learning easy (and how you can learn it)

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Also Watch:
How to Learn Machine Learning in 2024 (7 step roadmap) https://youtu.be/jwTaBztqTZ0
All Machine Learning algorithms explained in 17 min https://youtu.be/E0Hmnixke2g

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/statistics-probability
Linear Algebra https://www.khanacademy.org/math/linear-algebra
Differential Calculus https://www.khanacademy.org/math/differential-calculus

An Introduction to Statistical Learning (In R or Python)
Book / PDF https://www.statlearning.com/
Youtube Playlist: https://www.youtube.com/watch?v=5N9V07EIfIg&list=PLOg0ngHtcqbPTlZzRHA2ocQZqB1D_qZ5V&ab_channel=DataScienceAnalytics
Python Specific Youtube Playlist: https://www.youtube.com/watch?v=LvySJGj-88U&list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ&ab_channel=StanfordOnline

3Blue1Brown https://www.youtube.com/@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