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Machine Learning by Mind Map: Machine Learning

1. Types of Learning

1.1. Supervised Learning

1.1.1. Classification based-on types Binary Classification Multi-Class Classification based-on algorithms Logistic Regression k-Nearest Neighbours

1.1.2. Regression Linear Regression

1.2. Semi-Supervised Learning

1.3. Unsupervised Learning

1.3.1. Clustering K-Means

1.4. Reinforcement Learning

2. How to approach a Problem?

2.1. Define your Problem

2.1.1. Problem Statement

2.1.2. Problem Description

2.1.3. Data Set Description

3. Deep Learning

3.1. Architectures

3.1.1. Convolutional Neural Networks

3.1.2. Recurrent Neural Networks GRU