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Machine Learning Technology content

Machine Learning Foundations

Please refer to the Repo https://github.com/IPConvergence/machine-learning for Foundation material on the following topics:

  • General Introduction

  • Linear Regression with one Variable

  • Linear Algebra Requirements (Vector, Matrix)

  • Linear Regression with multiple Variables

  • Octave Basics

  • Logistic Regression for Classification

  • Regularisation for the problem of overfitting

  • Neural Network Representation (Non linear hypothesis)

  • Neural Network Learning - Cost function

  • Advice for Applying Machine Learning

  • Machine Learning System Design

  • Support Vector Machine - Optimisation

  • Clustering - Introduction to Unsupervised Learning

  • Dimensionality Reduction / Compression-Visualisation-Principal Component Analysis (PCA)

  • Anomaly Detection

  • Recommender Systems

  • Large Scale Machine Learning - with large DB

  • Application Example - Photo OCR

This IPConvergence Repo containes Matlab Sample Code and theory explanations our foundation material.

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