Intro to ML Study Guide

A comprehensive study resource for Introduction to Machine Learning, covering core theory, math, and hands-on practice questions.

Created by Nicholas Tavares

Topics Covered

Core ML Concepts — Mitchell's definition of learning, types of machine learning (supervised, unsupervised, reinforcement), hypothesis spaces, inductive bias
Linear Regression — Ordinary least squares, gradient descent, closed-form solution, cost functions, feature scaling
Logistic Regression — Sigmoid function, log-loss / cross-entropy, decision boundaries, maximum likelihood estimation
Evaluation Metrics — Accuracy, precision, recall, F1-score, confusion matrices, ROC/AUC, when to use which metric
Decision Trees — Entropy, information gain, Gini impurity, tree construction, pruning, overfitting risks
Bias-Variance Tradeoff — Bias-variance decomposition, underfitting vs. overfitting, cross-validation (k-fold, LOOCV)
Ensemble Methods — Bagging, boosting, Random Forests, AdaBoost, how ensembles reduce variance or bias
Support Vector Machines (SVMs) — Maximum margin classifiers, support vectors, the kernel trick, soft vs. hard margins
Bayesian Learning — Bayes' theorem, MAP vs. MLE, naive Bayes classifiers, prior and posterior distributions
Neural Networks — Perceptrons, multi-layer networks, sigmoid activation, backpropagation, chain rule, gradient flow

Interactive multiple-choice and short-answer questions spanning all the topics above — with explanations for each answer.

Visit the live site — no downloads needed:

If you downloaded this repo as a ZIP or cloned it to your computer:

Find the folder where the files are saved.
Double-click index.html — it will open in your default web browser (Chrome, Firefox, Edge, etc.).
From there, use the links on the page to navigate to the theory guide or practice questions.

That's it! No special software, servers, or setup required. These are just regular web pages that open in any browser.

File	What It Is
`index.html`	Home page with links to everything
`ml_midterm_theory.html`	Theory guide with key concepts, formulas, and explanations
`ml_midterm_practice_exam.html`	Practice questions with interactive answers

The page looks weird or doesn't load styles — Make sure all three .html files are in the same folder. Don't move them apart.
Links between pages don't work — Same thing — keep all files together in one folder.
Can't open the file — Right-click the .html file, select "Open with," and choose any web browser.