#Calculus
Showing 27 of 27 repositories tagged #calculus, ranked by stars
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
Quantitative Interview Preparation Guide, updated version here ==>
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.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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.
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
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.
Wolfram Language / Mathematica reimplementation in Rust (Wolfram oxidized)
List of resources & possible pathway for the Math of Machine Learning and AI.
moved to https://github.com/desicochrane/datasci
Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.
A book on the mathematical foundations of AI from an engineering perspective.
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Intuitive math descriptions and animations (like 3b1b)
Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers
Using Computer with your Statistics Major Course
Explorando aspectos fundamentais da matemática com Python e Jupyter
My publications on Medium
A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.
Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
A Symbolic Code Algebra+Calculus system for VS Code
Here you find CheatSheets for Data Science Topics
C++ HTTP/2 Mock Service which enables mocking HTTP/2 applications (also HTTP/1 supported).