dsrub / solutions_to_probability_statisticsLinks
☆84Updated 4 years ago
Alternatives and similar repositories for solutions_to_probability_statistics
Users that are interested in solutions_to_probability_statistics are comparing it to the libraries listed below
Sorting:
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book☆25Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Repo for Statistical Learning course offered by Stanford University☆50Updated 6 years ago
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆254Updated 5 years ago
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆251Updated 6 years ago
- ☆205Updated 3 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆299Updated 3 years ago
- Statistical Inference Course☆43Updated 11 months ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆369Updated 4 years ago
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆92Updated 2 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie …☆422Updated 2 months ago
- Essential mathematics for applied machine learning and data science☆79Updated 3 years ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆346Updated 5 years ago
- Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such …☆127Updated last year
- CS229 Solution (summer 2019, 2020).☆18Updated last year
- The repository is to document skills that a data scientist needs to acquire☆19Updated 3 months ago
- Inside Deep Learning: The math, the algorithms, the models☆269Updated 2 years ago
- Assignments (Python) in Algorithms Courses of Stanford University at Coursera☆61Updated 6 years ago
- List of Computer Science courses with video lectures.☆27Updated 3 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆188Updated last year
- Download ebook free from VNTALKING☆45Updated 6 years ago
- An scrappeR of Springer books☆44Updated 9 years ago
- ☆154Updated last month
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆70Updated 2 months ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆803Updated 5 years ago
- Mathematics for Machine Learning Lecture Notes☆45Updated 4 years ago
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆75Updated last year
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆73Updated last year
- Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!☆35Updated last year