shervinea / stanford-cme-102-ordinary-differential-equationsLinks
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
☆249Updated 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
Sorting:
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆764Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆281Updated 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…☆693Updated 2 years ago
- Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence☆910Updated 2 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆950Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 3 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆361Updated 3 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆537Updated 6 years ago
- Essential mathematics for applied machine learning and data science☆76Updated 3 years ago
- ☆345Updated 4 years ago
- Template for data generator with PyTorch☆134Updated 6 years ago
- This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…☆270Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Deep learning codes and projects using Python☆357Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆572Updated 5 years ago
- Applied Probability Theory for Everyone☆116Updated 10 months ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆429Updated 10 months ago
- A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …☆181Updated 9 months ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆784Updated 2 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Notes on mathematical topics that pertain to machine learning☆110Updated 3 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆149Updated 4 years ago
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,777Updated 5 years ago
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆62Updated 4 years ago
- Probability - The Science of Uncertainty and Data☆115Updated 6 years ago
- Study guides for MIT's 15.003 Data Science Tools☆1,865Updated 4 years ago
- Course: Applied Machine Learning☆63Updated last year
- this is a collection of books and courses for machine learning.☆350Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆415Updated 3 years ago
- FREE ML Courses from Top Universities in CS☆249Updated last year