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Machine Learning by Mind Map: Machine Learning

1. Deep Learning

1.1. Architectures

1.1.1. Convolutional Neural Networks

1.1.2. Recurrent Neural Networks GRU

2. Types of Learning

2.1. Supervised Learning

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

2.1.2. Regression Linear Regression

2.2. Semi-Supervised Learning

2.3. Unsupervised Learning

2.3.1. Clustering K-Means

2.4. Reinforcement Learning

3. How to approach a Problem?

3.1. Define your Problem

3.1.1. Problem Statement

3.1.2. Problem Description

3.1.3. Data Set Description