Some Assorted Bookmarks of Interest

Mathematics​

General​

• Foundations of Applied Mathematics
• CS103a: Math Problem-Solving Strategies (Stanford) — Love the lecture slides!

Linear Algebra​

• No Bullshit Guide To Linear Algebra by Ivan Savov

Probability & Random Variables​

• 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

Statistics​

Courses & General Resources​

• Yale Course
• ISYE 6739 - Probability and Statistics — 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

Books​

• The StatQuest Illustrated Guide To Machine Learning by Josh Starmer
• Elements of Causal Inference

Regression & Modeling Concepts​

• 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 Channels​

• jbstatistics — Clear, short, precise
• zedstatistics — This man has saved my arse more times than I care to count
• Very Normal — From a Biostatistician (from Columbia!)
• Ontology Explained

Podcasts​

• Linear Digressions
• Data Skeptic

Causal Inference​

• Causal AI by Robert Osazuwa Ness (uses PyTorch)
• Elements of Causal Inference

Machine Learning​

Courses​

• Stanford CS336 (GOATed)

Learning Resources​

• Foundations of Machine Learning
• Understanding Deep Learning
• Super-formal course on ML (Indian Institute of Science)
• 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)

Books​

• Generative AI System Design Interview

Datasets​

• Statlib at CMU
• UCI Machine Learning Repository

Other​

• MicroGPT by Andrej Karpathy (Cached Page and Source Code)

Finance & Investing​

• 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 2005–2012

Computing & Tools​

• Oxen — Fine-tune models on the cheap
• Marimo — A better Jupyter Notebook

LaTeX​

• MathJax Basic Tutorial and Quick Reference — 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 — Bunch of new stuff not on the tug.org list

Columbia / CUIMC​

• My UNI
• CUIMC Mail
• CUIMC Information Technology
• Excellent Map of Washington Heights — Via CUIMC Housing Services
• The Unofficial Columbia Wiki
• MPH Requirements at Mailman

Health Informatics & Career​

• Health Informatics Education
• Career Paths in Biomedical Informatics
• Very Normal
• Lessons from my PhD — Austin Z. Henley
• Informatics: Research and Practice - AMIA
• UPenn FAQ
• Why Biomedical Informatics? - Isaac Kohane
• Bioinformatics vs. Biomedical/Health Informatics - Reddit