GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → markkm → math-for-ml

markkm / math-for-ml

Licence: MIT license
Mathematical preliminaries for machine learning

Programming Languages

Jupyter Notebook
11667 projects

Labels

machine-learningstatisticscalculuslinear-algebranumerical-analysisprobability-theory

Projects that are alternatives of or similar to math-for-ml

Learn-Machine-Learning-in-3-month
No description or website provided.
Stars: ✭ 35 (+133.33%)
Mutual labels:  calculus, linear-algebra
data-science-notes
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Stars: ✭ 52 (+246.67%)
Mutual labels:  calculus, linear-algebra
Symbolic-computation-Python
Symbolic computation using SymPy and various applications
Stars: ✭ 18 (+20%)
Mutual labels:  calculus, linear-algebra
Math Php
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Stars: ✭ 2,009 (+13293.33%)
Mutual labels:  linear-algebra, numerical-analysis
Quant Notes
Quantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (+1100%)
Mutual labels:  calculus, linear-algebra
Mathematics for Machine Learning
Learn mathematics behind machine learning and explore different mathematics in machine learning.
Stars: ✭ 28 (+86.67%)
Mutual labels:  calculus, linear-algebra
The Math Of Intelligence
List of resources & possible pathway for the Math of Machine Learning and AI.
Stars: ✭ 370 (+2366.67%)
Mutual labels:  calculus, linear-algebra
numerics
library of numerical methods using Armadillo
Stars: ✭ 17 (+13.33%)
Mutual labels:  linear-algebra, numerical-analysis
Basic Mathematics For Machine Learning
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
Stars: ✭ 300 (+1900%)
Mutual labels:  calculus, linear-algebra
Machine Learning Curriculum
Complete path for a beginner to become a Machine Learning Scientist!
Stars: ✭ 279 (+1760%)
Mutual labels:  calculus, linear-algebra
Cpp-Examples
Numerical C++ examples.
Stars: ✭ 38 (+153.33%)
Mutual labels:  linear-algebra, numerical-analysis
Hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Stars: ✭ 1,380 (+9100%)
Mutual labels:  calculus, linear-algebra
Introduction-to-Python-Numerical-Analysis-for-Engineers-and-Scientist
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.
Stars: ✭ 110 (+633.33%)
Mutual labels:  linear-algebra, numerical-analysis
Undergraduate-in-Statistics
Using Computer with your Statistics Major Course
Stars: ✭ 57 (+280%)
Mutual labels:  calculus, linear-algebra
Julia-data-science
Data science and numerical computing with Julia
Stars: ✭ 54 (+260%)
Mutual labels:  linear-algebra, numerical-analysis
maths-for-deep-learning-ai
A open source book covering the foundational maths of deep learning and machine learning using TensorFlow
Stars: ✭ 35 (+133.33%)
Mutual labels:  calculus, linear-algebra
Awesome-Math-Learning
📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.
Stars: ✭ 73 (+386.67%)
Mutual labels:  calculus, linear-algebra
From 0 To Research Scientist Resources Guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Stars: ✭ 247 (+1546.67%)
Mutual labels:  calculus, linear-algebra
Data Science Masters
Self-study plan to achieve mastery in data science
Stars: ✭ 179 (+1093.33%)
Mutual labels:  calculus, linear-algebra
Mathparser.org Mxparser
Math Parser Java Android C# .NET/MONO (.NET Framework, .NET Core, .NET Standard, .NET PCL, Xamarin.Android, Xamarin.iOS) CLS Library - a super easy, rich and flexible mathematical expression parser (expression evaluator, expression provided as plain text / strings) for JAVA and C#. Main features: rich built-in library of operators, constants, math functions, user defined: arguments, functions, recursive functions and general recursion (direct / indirect). Additionally parser provides grammar and internal syntax checking.
Stars: ✭ 624 (+4060%)
Mutual labels:  calculus
View All Similar Projects ➔

Mathematical Preliminaries for Machine Learning

This repository contains notes on the mathematical preliminaries for machine learning, originally conceived as supplementary notes to the Fall 2017 incarnation of Carnegie Mellon University's 10-715: Advanced Introduction to Machine Learning.

Contents

  1. Functions
  2. Metric Spaces
  • Basic Definitions
  • Limit and Continuity
  • Complete Metric Spaces
  • Compact Metric Spaces
  1. Normed Linear Spaces
  • Vector Spaces
  • Norm
  • Euclidean Space
  • Sequence Spaces
  • Lebesgue Spaces
  • Uniform Norm
  • Operator Norm
  • Matrix Operator Norm
  • Frobenius Norm
  • Norms on a Finite-Dimensional Normed Linear Space
  1. Inner Product Spaces
  • Definitions and Examples
  • Orthogonality
  • Unitary Classification of Hilbert Spaces
  • Hilbert Spaces with a Countable Orthonormal Basis
  • Finite-Dimensional Hilbert Spaces
  1. Interlude: Basic Numerical Analysis
  • NumPy
  • Floating-Point Arithmetic
  1. Singular Value Decomposition
  • Invertibility of Linear Operators and Matrices
  • Singular Values

A note on Jupyter Notebook files

GitHub's rendering of LaTeX on Jupyter is buggy. As an alternative, download the ipynb file and display it on your local Jupyter server. Here's how.

Licenses

Unless otherwise specified, the licensing details for this repository are as follows.

The notes are distributed with CC-by-4.0. The homework problems, taken from the 10-715 course page, are copyrighted by Barnabas Poczos. The written homework solutions are distributed with CC-by-4.0. Programming homework solutions are distributed with the MIT License.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].