aaidrici / AllOfStatisticsLinks
Solutions to All of Statistics, a textbook authored by Larry Wasserman. I wrote the solutions as a self-studying method, thus I cannot guarantee their correctness.
☆23Updated 3 years ago
Alternatives and similar repositories for AllOfStatistics
Users that are interested in AllOfStatistics are comparing it to the libraries listed below
Sorting:
- Exercise Solutions for All of Statistics (Larry Wasserman)☆105Updated 3 years ago
- UCB EECS126 : probability theory and random processes.☆130Updated 3 years ago
- ☆346Updated 5 years ago
- All lecture notes, slides and assignments for CS230 course by Stanford University.☆86Updated 4 years ago
- The answers for all labs, hws, and projects in Data100(DS100)☆57Updated 3 years ago
- Stanford convex optimization course☆100Updated 4 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆294Updated 3 years ago
- Learning material for CMU10-714: Deep Learning System☆279Updated last year
- Spring 2022 Public Materials and Website☆66Updated 2 months ago
- This repo contains all the learning materials for UC Berkeley's course CS170 : Efficient Algorithms and Intractable Problems☆96Updated 4 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆249Updated 4 years ago
- Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。☆272Updated 5 years ago
- The newest solution for CS224n: Stanford NLP.(作业代码实现)☆71Updated 2 years ago
- Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2…☆265Updated last year
- 此项目用于归档本人在上海交通大学计算机科学与技术专业学习过程中的作业与项目。☆43Updated last year
- AI Pacman, CS188 2019 summer version (Completed), original website:☆86Updated last week
- ☆21Updated last year
- Introduction to Computation☆78Updated last year
- cs50 AI course resources☆107Updated 4 years ago
- 新托福备考心得之附件资源☆13Updated 2 years ago
- discrete mathematics and probability theory☆303Updated 3 years ago
- undergraduate numerical analysis course in MIT☆46Updated 4 years ago
- My assignment solutions for Michigan’s EECS 498-008/598-008 (Deep Learning for Computer Vision) by Prof. Justin Johnson, version 2022☆18Updated 3 years ago
- Shortest solutions for CS231n 2021-2025☆396Updated last week
- Jupyter Notebook virtual labs developed for EE 120, UC Berkeley's course in Signals and Systems.☆26Updated 5 years ago
- UCB EECS126 : probability theory and random processes.☆13Updated last year
- All notes and materials for the CS229: Machine Learning course by Stanford University☆2,763Updated 7 months ago
- Homework of Machine Learning Taught by Hy Lee, 2022-2023. Most of the code has reached boss baseline.☆127Updated last year
- ☆185Updated last year
- my solution for course cs61A, 2021 Fall☆73Updated 3 years ago