shervinea / stanford-cme-102-ordinary-differential-equations
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
☆240Updated 4 years ago
Alternatives and similar repositories for stanford-cme-102-ordinary-differential-equations:
Users that are interested in stanford-cme-102-ordinary-differential-equations are comparing it to the libraries listed below
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆715Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆267Updated 4 years ago
- 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 Learni…☆675Updated 2 years ago
- Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence☆904Updated 2 years ago
- Blogs on Machine Learning and Deep learning☆110Updated 3 years ago
- ☆342Updated 4 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- Template for data generator with PyTorch☆132Updated 6 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆913Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆527Updated 5 years ago
- This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Im…☆38Updated 6 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆408Updated 3 years ago
- A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learn…☆214Updated 7 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 3 years ago
- Notes on mathematical topics that pertain to machine learning☆105Updated 3 years ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆332Updated 4 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆762Updated 2 years ago
- Notes from Introduction to Statistical Learning☆114Updated 7 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆175Updated 7 months ago
- Machine learning flashcards☆218Updated 3 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆130Updated 2 months ago
- This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…☆265Updated 2 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆565Updated 4 years ago
- Deep Learning from Scratch with PyTorch☆116Updated 4 years ago
- Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithm…☆132Updated last year
- ☆38Updated 3 years ago
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆96Updated 5 years ago
- This Repo is about the practices of software engineering and how they apply in data science.☆13Updated 4 years ago