Alternatives and similar repositories for Learning-From-Data-A-Short-Course:

Users that are interested in Learning-From-Data-A-Short-Course are comparing it to the libraries listed below

• ppaquay / Learning-from-Data-Solutions
  Repository of my solutions to the problems of "Learning from Data"
  ☆268Updated 4 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆245Updated 2 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,026Updated 2 years ago
• seloufian / Deep-Learning-Computer-Vision
  My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…
  ☆127Updated 3 years ago
• desh2608 / numerical-linear-algebra
  Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.
  ☆82Updated 5 years ago
• roessland / learning-from-data
  Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, percep…
  ☆44Updated 5 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆201Updated 3 years ago
• tengyuma / cs229m_notes
  ☆214Updated 2 years ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆473Updated 2 years ago
• maxim5 / cs230-2018-autumn
  All lecture notes, slides and assignments for CS230 course by Stanford University.
  ☆51Updated 3 years ago
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆81Updated 2 years ago
• huyfm / cs229-solution
  CS229 Solution (summer 2019, 2020).
  ☆12Updated last year
• peteflorence / MachineLearning6.867
  My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
  ☆298Updated 10 months ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆261Updated 4 years ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,192Updated 6 months ago
• hoangnguyen7699 / StatisticsForApplication_solution
  ☆58Updated last year
• YuhangZhou88 / ESL_Solution
  ☆263Updated 2 years ago
• harvard-ml-courses / cs181-textbook
  ☆114Updated 5 months ago
• onmee / ISLR-Answers
  Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
  ☆168Updated 2 years ago
• homefish / edX_Learning_From_Data_2017
  Machine Learning course on edX by Yaser S. Abu-Mostafa (Caltech)
  ☆17Updated 7 years ago
• chenzhaiyu / coursera-deep-learning
  Deep Learning specialization
  ☆57Updated 5 years ago
• sliao7 / CSE6740_Computational_Data_Analysis
  All the course work of supervised and unsupervised algorithms and projects.
  ☆10Updated 3 years ago
• leeyngdo / Numerical-Linear-Algebra
  Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997
  ☆70Updated 10 months ago
• kamperh / data414
  Data Analytics 414
  ☆45Updated 2 months ago
• dsrub / solutions_to_probability_statistics
  ☆76Updated 3 years ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆91Updated 5 years ago