bloomberg / fomlLinks
Foundations of Machine Learning
☆339Updated last year
Alternatives and similar repositories for foml
Users that are interested in foml are comparing it to the libraries listed below
Sorting:
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆521Updated 4 years ago
- Harvard CS109b Public Repository☆234Updated 4 years ago
- Notebook to download machine learning flashcards☆456Updated 5 years ago
- Growing the code out of your notebooks - the right way.☆528Updated 2 years ago
- A tool that translates augmented markdown into HTML or latex☆467Updated 3 years ago
- Public web page for brohrer☆98Updated 5 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆311Updated 3 years ago
- Six snippets of code that made deep learning what it is today.☆261Updated 5 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Guide explaining and implementing fundamental machine learning algorithms in Python☆171Updated 6 years ago
- Sam Finlayson's Academic blog☆95Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 6 years ago
- The best resources around Machine Learning☆351Updated 3 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites☆437Updated 2 years ago
- Public Repository for cs109a, 2017 edition☆325Updated last year
- A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.☆566Updated 2 years ago
- Learning numerical computing with notebooks for all ages.☆770Updated last year
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 5 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,044Updated 7 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 5 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆201Updated 2 years ago
- Machine Learning Tutorials in Python☆194Updated 4 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 8 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆354Updated 4 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated last month
- Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Univers…☆59Updated 3 years ago