minireference / noBSLAnotebooksLinks
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
☆242Updated 3 weeks ago
Alternatives and similar repositories for noBSLAnotebooks
Users that are interested in noBSLAnotebooks are comparing it to the libraries listed below
Sorting:
- Collection of resources for self-studying mathematics and machine learning.☆54Updated 4 years ago
- Applied Probability Theory for Everyone☆120Updated last year
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆55Updated last year
- Introductory Statistical Inference☆146Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆295Updated 5 years ago
- ML algorithms in depth☆270Updated last year
- Essential mathematics for applied machine learning and data science☆79Updated 3 years ago
- Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)☆61Updated 8 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆369Updated 4 years ago
- Learning Data Science, a textbook.☆261Updated 4 months ago
- Inside Deep Learning: The math, the algorithms, the models☆270Updated 2 years ago
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆75Updated last year
- Supplementary material for my book, Probably Overthinking It.☆159Updated 2 weeks ago
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆254Updated 5 years ago
- All of the figures and notebooks for my deep learning book, for free!☆516Updated 2 weeks ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆75Updated 6 years ago
- An introduction to data science in Python, for people with no programming experience.☆454Updated 5 months ago
- Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!☆35Updated last year
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆566Updated 2 years ago
- Python and MATLAB code for linear algebra textbook.☆197Updated last year
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆543Updated 6 years ago
- Deep Learning Study Group☆330Updated 4 years ago
- Machine learning flashcards☆221Updated 4 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆279Updated 7 years ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆171Updated 8 months ago
- A tool that translates augmented markdown into HTML or latex☆470Updated 3 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Notes from Introduction to Statistical Learning☆117Updated 7 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆223Updated last year