Mathematicsβ
Generalβ
- Foundations of Applied Mathematics
- CS103a: Math Problem-Solving Strategies (Stanford) β Love the lecture slides!
Linear Algebraβ
- No Bullshit Guide To Linear Algebra by Ivan Savov
Probability & Random Variablesβ
- A fantastic introductory video to Probability and associated concepts.
- An excellent episode of the excellent Mindscape podcast by Sean Carroll where he speaks to Branden Fitelson about the meaning and philosophy of Probability.
- Terry Tao's Review of Probability Theory
- Introduction to Probability, Statistics, and Random Processes and Solutions
- Probability for Computer Scientists (Stanford)
- A nice playlist on Probability Theory
- Super-formal course on Probability (Indian Institute of Science)
- The Algebra of Random Variables
- A Simple Explanation of Moments
- Martingales, Measure Theory, and the ABRACADABRA Problem
- The Drunkard's Walk by Leonard Mlodinow is a must-read that goes into the history of probability and statistics.
- I've been told good things about The Pleasures of Probability by Richard Isaac and am looking forward to reading it.
- The Legendary STAT110 at Harvard by the equally Legendary Joe Blitzstein
YouTube
Statisticsβ
Courses & General Resourcesβ
- Yale Course
- ISYE 6739 - Probability and Statistics β Professor Goldsman's course
- Intelligent Systems Stuff - Advanced Math Stuff for Stats
- StatQuest!!!
- Statistics by Jim
- Machine Learning Resources
- The course most relevant to BINF G4000: CS109 at Stanford
YouTube, Course Reader
Booksβ
Regression & Modeling Conceptsβ
- How to say if the variable is significant looking only at t-value
- Why are the degrees of freedom for multiple regression n-k-1
- Do all interaction terms need their individual terms in regression model
- What is the meaning of p-values and t-values in statistical tests
- Difference between a t-value and p-value
- Logistic Regression in Stata
- Degrees of Freedom in Statistics
- Overfitting Regression Models
- How Many Terms in Your Model Before Statistical Machismo
- Interpreting Beta
- Interaction Terms and Model Complexity
- Categorical Variables and Overfitting
- Regression Topics at Essedunet
YouTube Channelsβ
- jbstatistics β Clear, short, precise
- zedstatistics β This man has saved my arse more times than I care to count
- Very Normal β From a Biostatistician (from Columbia!)
- Ontology Explained
Podcastsβ
Causal Inferenceβ
- Causal AI by Robert Osazuwa Ness (uses PyTorch)
- Elements of Causal Inference
Machine Learningβ
Learning Resourcesβ
- Machine Learning Unpacked
- The StatQuest Illustrated Guide To Machine Learning by Josh Starmer
- Everything You Should Know about Confusion Matrix for Machine Learning
- Random Forest Regression (Turi)
Booksβ
Datasetsβ
Finance & Investingβ
- Types of Multifactor Models (AnalystNotes)
- Factor Research: Value and Momentum Factor Portfolios
- Efficient Market Hypothesis (Investopedia)
- Factor Investing (Investopedia)
- Weak Form Efficiency (Investopedia)
- Excessive Investments in Systematic Factor Funds
- Value Premium 2005β2012
Computing & Toolsβ
LaTeXβ
- MathJax Basic Tutorial and Quick Reference β A truly excellent resource on syntax, the only one I've ever needed
- Giant list of LaTeX fonts with Math Support
- Lino Ferreira's Favorite LaTeX fonts β Bunch of new stuff not on the
tug.orglist
Columbia / CUIMCβ
- My UNI
- CUIMC Mail
- CUIMC Information Technology
- Excellent Map of Washington Heights β Via CUIMC Housing Services
- The Unofficial Columbia Wiki
- MPH Requirements at Mailman
Health Informatics & Careerβ
- Health Informatics Education
- Career Paths in Biomedical Informatics
- Very Normal
- Lessons from my PhD β Austin Z. Henley
- Informatics: Research and Practice - AMIA
- UPenn FAQ
- Why Biomedical Informatics? - Isaac Kohane
- Bioinformatics vs. Biomedical/Health Informatics - Reddit