Alternatives and similar repositories for 2018_math4432

Users that are interested in 2018_math4432 are comparing it to the libraries listed below

• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 5 years ago
• namanUIUC / MachineLearning
  CS446: Machine Learning in Spring 2018, UIUC
  ☆13Updated 5 years ago
• shenxiangzhuang / nyu-ml-course-ds-ga-1003
  DS-GA 1003[Spring 2019]
  ☆11Updated 5 years ago
• yangyang2000 / Dynamic-Factor-Model
  Python code for dynamic facctor model. (Preliminary and in progress)
  ☆22Updated 7 years ago
• fw307 / high_dimensional_regression_comparison
  Empirical comparison of penalized linear regression in high-dimensional settings
  ☆12Updated 5 years ago
• prob140 / textbook
  ☆27Updated 3 weeks ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 7 years ago
• charlieblue17 / pTSAFall2018
  DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018
  ☆15Updated 6 years ago
• bangdasun / statistical-machine-learning
  STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materi…
  ☆8Updated 6 years ago
• murufeng / awesome-machine-learning
  A curated list of awesome machine Learning tutorials,courses and communities.
  ☆41Updated 4 years ago
• lightaime / cs294
  Berkeley Deep Reinforcement Learning cs294 solution
  ☆13Updated 7 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆54Updated 4 years ago
• AM207 / 2018spring
  ☆3Updated 7 years ago
• duke-mlss / Duke-MLWS-2019
  Duke Machine Learning Winter School 2019
  ☆27Updated 6 years ago
• Zhenye-Na / deep-learning-uiuc
  💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-Champaign
  ☆1Updated 6 years ago
• foucart / Mathematical_Pictures_at_a_Data_Science_Exhibition
  This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…
  ☆11Updated 2 years ago
• zackmcnulty / CSE_446-Machine_Learning
  Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision tre…
  ☆9Updated 5 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• chaaland / bloomberg-ml-course
  Solutions to machine learning HW from bloomberg ml course
  ☆11Updated 5 years ago
• smileschen / 2018-sp-stats131
  2018 Spring Stats 131
  ☆10Updated 6 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• chirag1992m / Algorithmic-Trading-Challenge---Kaggle
  Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…
  ☆27Updated 3 years ago
• qingyuanzhao / Causal-Inference-Lectures
  ☆10Updated 3 years ago
• nancyyanyu / machine_learning_study_notes
  Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…
  ☆14Updated 4 years ago
• volflow / Expectation-Maximization
  Notebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm
  ☆12Updated 7 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago