Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
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Mar 14, 2024
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Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Softcopy of Engineering Books. If you want a book{s} to be taken down, please contact me.
Forward Mode Automatic Differentiation for Julia
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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Quantitative Interview Preparation Guide, updated version here ==>
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Wolfram Language / Mathematica reimplementation in Rust (Wolfram oxidized)
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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.
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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.
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Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
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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
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Do maths like a normal person
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a symbolic math expression evaluator for javascript
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⌨ Importable dictionary for typing math symbols more easily on your Android phone by using keyboard shortcuts inspired by LaTeX
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➗ A really micro micro-service for advanced math.
The Emmy Computer Algebra System.
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☕ Symja - computer algebra language & symbolic math library. A collection of popular algorithms implemented in pure Java.
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List of resources & possible pathway for the Math of Machine Learning and AI.
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