Read on Twitter
Do you want to learn the maths for machine learning but don't know where to start?
This thread is for you.
This thread is for you.
The guide that you will see below is based on resources that I came across, and some of my experiences over the past 2 years or so.
I use these resources and they will (hopefully) help you in understanding the theoretical aspects of machine learning very well.
I use these resources and they will (hopefully) help you in understanding the theoretical aspects of machine learning very well.
Before diving into maths, I suggest first having solid programming skills in Python.
Read this thread for more details https://twitter.com/PrasoonPratham/status/1360602224691412997?s=20
Read this thread for more details
https://twitter.com/PrasoonPratham/status/1360602224691412997?s=20
These are topics of math you'll have to focus on for machine learning
- Trigonometry & Algebra
These are the main pre-requisites for other topics on this list.
(There are other pre-requites but these are the most common)
- Trigonometry & Algebra
These are the main pre-requisites for other topics on this list.
(There are other pre-requites but these are the most common)
- Linear Algebra
To manipulate and represent data.
- Calculus
To train and optimize your machine learning model, this is very important.
To manipulate and represent data.
- Calculus
To train and optimize your machine learning model, this is very important.
- Statistics
Make "sense" out of the data you have.
- Probability
Make decisions under uncertainty.
Make "sense" out of the data you have.
- Probability
Make decisions under uncertainty.
These are some of the resources I recommend for learning these topics
Neural Networks
> A series of videos that go over how neural networks work with approach visual, must watch.
youtu.​be/aircAruvnKk
> A series of videos that go over how neural networks work with approach visual, must watch.
youtu.​be/aircAruvnKk
Seeing Theory
> This website helps you learn statistics and probability in an intuitive way.
seeing-theory.​brown.​edu/basic-probability/index.​html
> This website helps you learn statistics and probability in an intuitive way.
seeing-theory.​brown.​edu/basic-probability/index.​html
Gilbert Strang's lectures on Linear Algebra (MIT)
> This is 15 years old but still 100% relevant today!
Despite the fact these lectures are made for freshman college students at MIT, I found it very easy to follow
youtube.​com/playlist?list=PL49CF3715CB9EF31D
> This is 15 years old but still 100% relevant today!
Despite the fact these lectures are made for freshman college students at MIT, I found it very easy to follow
youtube.​com/playlist?list=PL49CF3715CB9EF31D
My Thread on Linear Algebra. https://twitter.com/PrasoonPratham/status/1353239459874136064?s=20
The essence of Linear Algebra
> A beautiful playlist of videos which teach you linear algebra through visualisations in an easy to digest manner.
youtube.​com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
> A beautiful playlist of videos which teach you linear algebra through visualisations in an easy to digest manner.
youtube.​com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Khan Academy
>You'll find a course on everything here! Khan Academy is the first place I'll go to when I want to learn something.
khanacademy.​org/math
>You'll find a course on everything here! Khan Academy is the first place I'll go to when I want to learn something.
khanacademy.​org/math
Essence of calculus
> A beautiful series on calculus, makes everything seem super simple.
youtube.​com/watch?v=WUvTyaaNkzM&list=PL0-GT3co4r2wlh6UHTUeQsrf3mlS2lk6x
> A beautiful series on calculus, makes everything seem super simple.
youtube.​com/watch?v=WUvTyaaNkzM&list=PL0-GT3co4r2wlh6UHTUeQsrf3mlS2lk6x
The math for Machine learning e-book
> This book is for someone who knows quite a decent amount of high school math like trigonometry, calculus, I suggest reading this after having the fundamentals down on khan academy.
mml-book.​github.​io
> This book is for someone who knows quite a decent amount of high school math like trigonometry, calculus, I suggest reading this after having the fundamentals down on khan academy.
mml-book.​github.​io
