---
layout: farshid_default
title: "Machine Learning Specialization"
permalink: /notes/courses/ml-specialization/
description: "Coursera ML Specialization notes covering regression, classification, clustering, and neural networks."
---

Coursera ML Specialization notes covering regression, classification, clustering, and neural networks.

# Machine Learning Specialization 2022

Coursera: Machine Learning Specialization (2022)

Download source code and full text of Mind map: [GitHub](https://github.com/tiziran/tiziran.github.io/tree/main/Machine_Learning_Specialization)

## Course 1: Supervised Machine Learning: Regression and Classification

- **Week 1:** Introduction to Machine Learning
- **Week 2:** Regression with multiple input variables
- **Week 3:** Classification

## Course 2: Advanced Learning Algorithms

- **Week 1:** Neural Networks
- **Week 2:** Neural network training

## Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning

- **Week 1-4:** Clustering, anomaly detection, recommender systems, reinforcement learning

## Course 4: ML Clustering & Retrieval

- Case Studies: Finding Similar Documents
- K-nearest neighbors, KD-trees, locality sensitive hashing
- K-means, expectation maximization (EM), latent Dirichlet allocation (LDA)

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