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) ######################################### I just started my own Patreon, in case you want to support! Patreon Link: https://www.patreon.com/c/InfiniteCodes ######################################### 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