Machine Learning Study Resources

I used ChatGPT to organize these links, so if there are any errors please feel free to create a PR w/ the corrections!

My Notes

• My SVM Optimization Derivation

Go-To Resources

• Full Math for ML - UPenn
• AnalyticsVidhya
• CS229 Course Notes (Stanford)
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (BOOK)
• Pauls Online Math Notes
• math.libretexts.org
• Linear Algebra Done Wrong
• 3Blue1Brown
• Trefor Bazett Youtube
• ChatGPT

Study Resources

• Reddit Study Tips

Machine Learning

• MIT SVM Lecture Notes
• Wikipedia: Support Vector Machine
• Support Vector Machines - Towards Data Science
• Demystifying Maths of SVM - Part 2
• Evaluation Metrics for Regression Problems
• SVM - Baeldung
• MIT SVM Lecture Slides
• Multi-Class Classification with SVM - Stack Overflow
• Stat CMU: SVM
• Stack Overflow: Functional Margin
• Wei2624: SV SVM
• Intellipaat: Functional Margin
• Jeremy Jordan: Support Vector Machines
• Google Search: Geometric vs Functional Margin
• Lagrange Multipliers in Support Vector Machines
• Transformers
• Building the Optimization Problem of Maximum Margin Classifiers
• SVM: Functional Margin and Geometric Margin
• Perceptron Learning Algorithm
• Mathematics behind Support Vector Machines
• Support Vector Machines (Analytics Vidhya)
• SVM Lecture Notes (NEU)
• 3D Scatter Plot in Matplotlib
• Scikit-Learn Sample Generators
• Scikit-Learn SVM Module
• How to Normalize Data to 0-1 Range
• Generate Linear Separable Dataset with Scikit-Learn
• 3Blue1Brown SVM Videos
• Extract Column from Multi-Dimensional Array
• SVM: What is a Functional Margin?
• Wei2624: SVM
• Intellipaat: SVM Functional Margin
• MIT: SVM

Calculus and Linear Algebra

A Simple Explanation of Why Lagrange Multipliers Works
• Directional Derivatives
• Unit Vector
• Vector Arrow with Superscript (TeX Stack Exchange)
• Vector Functions
• Tangent and Normal Vectors
• Tangent Line
• Surface Cross Sections
• Elliptic Paraboloid
• Level Sets
• MIT Multivariable Calculus Lecture Notes
• E Symbol in Math Linear Algebra
• LibreTexts: Dot Product
• Stack Exchange: Coefficients for Equation of a Plane
• Pauls Online Math Notes: Equations of Planes
• Stack Exchange: Coefficients of the Equation of a Plane
• Stack Exchange: Gradient vs Normal Vector
• Physics Forums: Relationship Between Gradient and Normal Vector
• Acritch: Implicit vs. Parametric Equations
• YouTube: Implicit vs. Parametric Equations
• Clemson: Implicit vs. Parametric Equations
• LibreTexts: Lines, Planes, and Hyperplanes
• Cornell: Lecture Note 09
• Interpretation of Lagrange Multipliers
• Why do Lagrange Multipliers Work?
• Concise and Intuitive Explanation of Lagrange Multipliers
• Nonlinear Programming - MIT
• Lagrange Multipliers - LibreTexts
• Lagrange Multiplier Example
• Setting the Gradient to 0 Gives a Minimum
• Lagrange Multipliers Notes
• Slack Variable - Wikipedia
• KKT Conditions
• Linear Models Notation
• Mathbb{R}^n to Mathbb{R}^m
• Linear Programming
• Maximization By The Simplex Method
• Optimization Problem Types - Linear and Quadratic Programming
• Lagrange Multipliers Tutorial
• Lagrange Multipliers and Support Vector Machines
• Math Is Fun: Sine, Cosine, Tangent
• Dot Product Definition
• Parametrized Surface Orientation

Vectors, Hyperplanes, and Geometry

• Varsity Tutors: Adding and Subtracting Vectors
• Math Stack Exchange: Vector Direction
• Apply StandardScaler in Scikit-Learn Pipeline
• Vector Lessons: Hyperplanes
• ResearchGate: Geometric Margin
• Given General 3D Plane Equation
• Scalar Projection
• Distance Between Two Hyperplanes
• Codimension
• Linear Subspace
• Understanding Hyperplanes in Machine Learning
• Why is Line Said to Have 1 Dimension and a Plane 2
• Parametric Equations
• LibreTexts: Geometry of R
• Vector Direction Video

Probability and Statistics

• Notation in Probability and Statistics (Wikipedia)

Programming

• Uninstalling Packages in Jupyter Notebook
• Google Colab Issues
• Matplotlib Issues
• Plot a Plane and Points in 3D Simultaneously
• Numpy Meshgrid
• General 3D Plane Equation
• Numpy linspace
• Matplotlib.pyplot.gca()
• Numpy.meshgrid()
• Matplotlib.pyplot.grid()
• Matplotlib 3D Scatter Plot
• Matplotlib Colormaps
• Matplotlib Quick Start Guide
• Matplotlib Figure.add_subplot()
• Make 3D Interactive Matplotlib Plot in Jupyter Notebook
• Jupyter Notebook Doesn't Uninstall Package with pip
• Google Colab Issue
• Numpy linspace
• Scikit-Learn: accuracy_score
• Scikit-Learn: train_test_split

GitHub

• gh_auth_login
• GitHub CLI
• How to setup Git

Additional Resources

• Desmos Calculator
• Desmos 3D Graphing Calculator

ChatGPT Recommendations

• Machine Learning Crash Course by Google
• Scikit-learn Documentation
• Coursera: Machine Learning by Andrew Ng