XiangyunHuang
commented
2 years ago 书籍
Think Julia: How to Think Like a Computer Scientist https://benlauwens.github.io/ThinkJulia.jl/latest/book
Statistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence https://www.dbooks.org/statistics-with-julia-1534/read/
Julia Data Science https://juliadatascience.io/
The Science of Functional Programming https://github.com/winitzki/sofp
economic networks theory and computation https://networks.quantecon.org/
Think Python https://wizardforcel.gitbooks.io/think-python-2e/content/0.html
Statistical Thinking for the 21st Century https://statsthinking21.github.io/statsthinking21-core-site/ 源于 an undergraduate statistics course at Stanford (Psych 10/Stats 60).
https://kateto.net/workshops/sunbelt/sunbelt2021.pdf
Spatial Statistics for Data Science: Theory and Practice with R https://www.paulamoraga.com/book-spatial/
Ecological Models and Data in R https://math.mcmaster.ca/~bolker/emdbook/book.pdf
Math for Machine Learning http://users.umiacs.umd.edu/~hal/courses/2013S_ML/math4ml.pdf
Artificial Intelligence: A Modern Approach by Russell and Norvig. https://github.com/mhahsler/CS7320-AI
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability. https://github.com/wzchen/probability_cheatsheet
Linear Algebra via Exterior Products https://github.com/winitzki/linear-algebra-book
Handbook of Data Visualization https://haralick.org/DV/Handbook_of_Data_Visualization.pdf
MATH20802: Statistical Methods: Likelihood, Bayes and Regression https://strimmerlab.github.io/courses/2022-23/MATH20802/index.html
如何用10天吃掉pyspark？ https://github.com/lyhue1991/eat_pyspark_in_10_days
《数据科学工程实践》一书的Jupyter Notebook库 https://github.com/xieliaing/Data_Science_Industrial_Practice
自学计算机科学 Path to a free self-taught education in Computer Science https://github.com/ossu/computer-science
数学文化 期刊 https://global-sci.org/mc.html
The Missing Book https://tmb.njtierney.com/
APPLIED MISSING DATA ANALYSIS https://www.appliedmissingdata.com/
Introduction to Probability for Data Science https://probability4datascience.com/
ALGORITHMS FOR DECISION MAKING https://algorithmsbook.com/#
Tidy Finance with R https://www.tidy-finance.org/
Python for Data Science https://aeturrell.github.io/python4DS/welcome.html
Tidy Modeling with R https://www.tmwr.org/
Doing Data Science in R https://github.com/mark-andrews/ddsr
ISLR tidymodels labs https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/
Introduction to Data Science Data Analysis and Prediction Algorithms with R https://rafalab.github.io/dsbook/
Variability and Consistency in Early Language Learning The Wordbank Project https://langcog.github.io/wordbank-book/
课程
广义线性模型，分类数据分析 https://erbiostat.wixsite.com/bina1/online-tutorials
Data Science in Practice https://course2022.scientistcafe.com/
Bayesian statistics with R https://oliviergimenez.github.io/bayesian-stats-with-R/
EDS 221: Scientific programming essentials https://allisonhorst.github.io/EDS_221_programming-essentials/
The R-Bootcamp is meant to be a gentle and gradual introduction to manipulating and visualizing data in R using the tidyverse suite of packages. Topics covered include: https://github.com/laderast/RBootcamp
https://harvard-iacs.github.io/2021-CS109A/
CS109a: Introduction to Data Science
- data collection ‐ data wrangling, cleaning, and sampling to get a suitable data set
- data management ‐ accessing data quickly and reliably
- exploratory data analysis – generating hypotheses and building intuition
- prediction or statistical learning
- communication – summarizing results through visualization, stories, and interpretable summaries
Building Production-Quality Shiny Applications https://shinyprod.com/
Machine learning with tidymodels https://workshops.tidymodels.org/
https://evalf22.classes.andrewheiss.com/ Program Evaluation for Public Service Combine research design, causal inference, and econometric tools to measure the effects of social programs
文章
Data Scientist: The Sexiest Job of the 21st Century https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century Thomas H. Davenport and DJ Patil
Is Data Scientist Still the Sexiest Job of the 21st Century? https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century Thomas H. Davenport and DJ Patil
Sustainable Science as a Vocation https://blogs.lse.ac.uk/impactofsocialsciences/2021/03/16/sustainable-science-as-a-vocation/
Happiness and Life Satisfaction https://ourworldindata.org/happiness-and-life-satisfaction
Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy https://arxiv.org/abs/2209.02439
Pareto Smoothed Importance Sampling https://arxiv.org/abs/1507.02646v8
How much should we trust staggered difference-in-differences estimates? https://andrewcbaker.netlify.app/publication/blw_did/BLW_DID.pdf
笔记
林荟 阅读笔记 https://hui1987.com/
材料
https://github.com/mcanouil/awesome-quarto https://github.com/terryum/awesome-deep-learning-papers
Welcome to the Deep Learning Tutorial! http://ufldl.stanford.edu/tutorial/
世界不平等 https://wid.world/
Tidy Verbs for Fast Data Manipulation https://github.com/hope-data-science/tidyfst
统计历史
The Life, Letters and Labours of Francis Galton, by Karl Pearson https://galton.org/pearson/
R 语言
An Introduction to R https://colinfay.me/intro-to-r/
Outstanding User Interfaces with Shiny https://unleash-shiny.rinterface.com/welcome.html
Using the flextable R package https://ardata-fr.github.io/flextable-book/index.html
Big Book of R | R 语言书籍列表 https://www.bigbookofr.com/index.html
Applied Data Skills: Processing & Presenting Data https://psyteachr.github.io/ads-v1/index.html
Deep R Programming https://deepr.gagolewski.com/
Building reproducible analytical pipelines with R https://raps-with-r.dev/
Creating beautiful tables in R with {gt} https://gt.albert-rapp.de/
数据科学
Modern Data Science with R https://mdsr-book.github.io/mdsr2e/
数据科学中的 R 语言 https://bookdown.org/wangminjie/R4DS/
A Data Science Pattern Language https://dspatterns.netlify.app/
Practical R for Mass Communication and Journalism https://www.machlis.com/R4Journalists/
R 数据分析指南与速查手册 https://bookdown.org/xiao/RAnalysisBook/
Data Analytics: A Small Data Approach https://dataanalyticsbook.info/
Data Analysis and Visualization with R https://www.michaelgastner.com/DAVisR2019/
时序分析
预测： 方法与实践--中文翻译书 https://otexts.com/fppcn/
Tidy time series forecasting with fable https://tidyverts.github.io/tidy-forecasting-principles/
Applied Time Series Analysis for Fisheries and Environmental Sciences https://atsa-es.github.io/atsa-labs/
Forecasting and Analytics with ADAM https://openforecast.org/adam/
Tidy Finance with R https://www.tidy-finance.org/
Data science for economists https://github.com/uo-ec607/lectures
网络分析
Handbook of Graphs and Networks in People Analytics https://ona-book.org/
Twitter for R programmers https://www.t4rstats.com/
时空分析
Modelling Spatiotemporal Processes https://edzer.github.io/mstp/
sits: Satellite Image Time Series Analysis on Earth Observation Data Cubes https://e-sensing.github.io/sitsbook/index.html
Intro to GIS and Spatial Analysis https://mgimond.github.io/Spatial/introGIS.html
Data Analysis and Machine Learning on Earth Observation Data Cubes with Satellite Image Time Series https://e-sensing.github.io/sitsbook/
GeoBUGS Manual https://www.mrc-bsu.cam.ac.uk/wp-content/uploads/geobugs12manual.pdf
Geographic Data Science with R: Visualizing and Analyzing Environmental Change https://bookdown.org/mcwimberly/gdswr-book/
PyGIS - Open Source Spatial Programming & Remote Sensing https://pygis.io/docs/a_intro.html
Mapping data in R https://mapping-in-r.netlify.app/
Analyzing 1.1 Billion NYC Taxi and Uber Trips, with a Vengeance An open-source exploration of the city's neighborhoods, nightlife, airport traffic, and more, through the lens of publicly available taxi and Uber data https://toddwschneider.com/posts/analyzing-1-1-billion-nyc-taxi-and-uber-trips-with-a-vengeance/
Reverse Engineering Uber and Lyft Surge Pricing in Chicago https://toddwschneider.com/
A Tale of Twenty-Two Million Citi Bike Rides: Analyzing the NYC Bike Share System https://toddwschneider.com/posts/a-tale-of-twenty-two-million-citi-bikes-analyzing-the-nyc-bike-share-system/
Intro to R-Spatial for Healthy Places https://makosak.github.io/Intro2RSpatialMed/index.html
PostGIS https://slides.com/fxku/postgis/fullscreen
NHH ECS530 2021 course: Spatial data analysis (with R) https://rsbivand.github.io/ECS530_h21/index.html
ECS530: Spatial data analysis I https://rsbivand.github.io/ECS530_h21/ECS530_211115.html#Spatial_data
空间统计 时空空间点数据 Shiny 应用 火灾数据 http://www.dicook.org/files/malaysiar/slides#28
课程 https://ds112-lendway.netlify.app/ Data Science skills 地图、动画、交互、获取数据等内容
文本分析
Supervised Machine Learning for Text Analysis in R https://smltar.com/
医学统计
Medical Statis Notes https://wxhyihuan.github.io/MedicalStatisNotes/
Data Analysis in Medicine and Health using R https://bookdown.org/drki_musa/dataanalysis/
人力资源
R for HR: An Introduction to Human Resource Analytics Using R https://rforhr.com/
机器学习
Explanatory Model Analysis https://ema.drwhy.ai/
Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/
Feature Engineering and Selection: A Practical Approach for Predictive Models https://bookdown.org/max/FES/
Lightweight Machine Learning Classics with R https://lmlcr.gagolewski.com/
Mathematics for Machine Learning https://mml-book.github.io/
Deep Learning Book Chinese Translation https://exacity.github.io/deeplearningbook-chinese/
Practical Deep Learning https://course.fast.ai/
SK 官方文档中文版 https://sklearn.apachecn.org/#/
Introduction to Machine Learning Interviews Book https://huyenchip.com/ml-interviews-book/
程序员如何优雅地挣零花钱 https://howto-make-more-money-easychen.vercel.app/
Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne https://algs4.cs.princeton.edu/home/
Docker 从入门到实践 https://yeasy.gitbooks.io/docker_practice/content/