Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Forward Mode Automatic Differentiation for Julia

Math Parser: Java, C#, C++, Kotlin, Android, and all .NET platforms (Nuget, Maven, CMake). Supports .NET Framework, .NET Core, .NET Standard, Xamarin, and more. Features: rich built-in library of math functions, operators, constants. Flexible in user-defined arguments, functions. Expressions provided as plain text. Easy to use. Well documented.

Quantitative Interview Preparation Guide, updated version here ==>

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Softcopy of Engineering Books. If you want a book{s} to be taken down, please contact me.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Power calculator for Android. Solve some problem algebra and calculus.

Do maths like a normal person

a symbolic math expression evaluator for javascript

➗ A really micro micro-service for advanced math.

⌨ Importable dictionary for typing math symbols more easily on your Android phone by using keyboard shortcuts inspired by LaTeX

The Emmy Computer Algebra System.

:coffee: Symja - computer algebra language & symbolic math library. A collection of popular algorithms implemented in pure Java.

List of resources & possible pathway for the Math of Machine Learning and AI.

An experimental computer algebra system written in Go

Reverse Mode Automatic Differentiation for Julia

Complete path for a beginner to become a Machine Learning Scientist!

Calculus functions in Julia

VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers

Scalable symbolic-numeric set computations in Julia

Computator.NET is a special kind of numerical software that is fast and easy to use but not worse than others feature-wise. It's features include: - Real and complex functions charts - Real and complex calculator - Real functions numerical calculations including different methods - Over 107 Elementary functions - Over 141 Special functions - Over 21 Matrix functions and operations - Scripting language with power to easy computations including matrices - You can declare your own custom functions with scripting language

Planning for an entire maths LaTeX book

moved to https://github.com/desicochrane/datasci

An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning

A command-line utility for quick math.