Algebra Libraries

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Algebra Libraries

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

We start with a high level overview of some foundational concepts in numerical linear algebra. We will use the newsgroups dataset to try to identify the topics of different posts. We use a term-docu…

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

There are eight subjects in the curriculum, organized into four subject areas. See the "Machine Learning House" section below for detail on why these are the essential foundational subject areas: Lat…

Data Science Roadmap from A to Z

Pandas

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations…

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

These lecture notes are intended for introductory linear algebra courses, suitable for university students, programmers, data analysts, algorithmic traders and etc. The lectures notes are loosely bas…

Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/, though this may change soon! (see https://trac.sagemath.org/ticket/30363)

This repository used to be the user-facing mirror of the Sage source tree. As Sage development migrated on 2023-02-01 from https://trac.sagemath.org/ to our new repository on GitHub, https://github.com/sagemath/sage, we have renamed and archived this repository.

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

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

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard Feynman Math literacy, including proficiency in Linear Algebra and Statistics,is…

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Thank you for reading and for being a supporter of Towards AI! Big thank you to C4H3I LLC for sponsoring us in June, 2022!

An open-source Mathematica. This repository contains the Python modules for WL Built-in functions, variables, core primitives, e.g. Symbol, a parser to create Expressions, and an evaluator to execute them.

Mathics is a general-purpose computer algebra system (CAS). However this repository contains just the Python modules for WL Built-in functions, variables, core primitives, e.g. Symbol, a parser to cr…

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

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 . I am going to upload new material…

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

directly in Python. To install diffeqpy, use pip: and you're good! We can plot the solution values using matplotlib: We can utilize the interpolation to get a finer solution: or we can draw the phase…

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

Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientist by skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a…

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Labs for the Foundations of Applied Mathematics curriculum.

This repository contains a collection of Python labs that go in tandem with the textbooks. These expose students to applications and numerical computation and reinforce the theoretical ideas taught i…

A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

Install the latest version of Python-graphblas via conda: or pip: The following are not required by python-graphblas, but may be needed for certain functionality to work. The approach taken with this…

A Python CAS library

$math-app-ml$

Essential mathematics for applied machine learning and data science

A collection of interactive tutorials about essential mathematics for applied machine learning and data science. As a learning resource with the following characteristics: Maybe. I have no formal mat…

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