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Machine Learning

Machine Learning

Train algorithms to learn patterns and make intelligent predictions from data.

62 Concepts AI & Machine Learning 📖 Story-Based
ML Foundations
1

What is Machine Learning

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2

Working with Data

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3

Exploratory Data Analysis

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4

Data Preprocessing

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5

Feature Engineering

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Regression Methods
6

Linear Regression Models

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Classification Methods
7

Classification Basics

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8

Decision Trees

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9

Gradient Boosting

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10

Support Vector Machines

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11

Instance-Based Learning

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12

Probabilistic Classifiers

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13

Ensemble Methods

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14

Linear Discriminant Analysis

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Model Evaluation
15

Validation Techniques

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16

Classification Metrics

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17

Probabilistic Metrics

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18

Threshold and ROC Metrics

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19

Regression Metrics

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Unsupervised Learning
20

Clustering Algorithms

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21

Advanced Clustering Methods

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22

Clustering Evaluation

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23

Dimensionality Reduction

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24

Association Rule Mining

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Neural Network Basics
25

Neural Network Architecture

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26

Loss Functions and Training

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27

Optimization Algorithms

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28

Regularization Techniques

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29

Advanced Training Techniques

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Computer Vision
30

CNN Architecture

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31

Computer Vision Tasks

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Sequence Models
32

Recurrent Neural Networks

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33

Advanced RNN Architectures

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34

Attention Mechanisms

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35

Transformer Architecture

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NLP
36

Word Representations

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37

Text Preprocessing

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38

NLP Tasks

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39

NLP Evaluation Metrics

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Generative Models
40

GAN Architecture

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41

Autoencoders

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Anomaly Detection
42

Anomaly Detection Methods

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Reinforcement Learning
43

RL Fundamentals

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44

RL Theory

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45

RL Algorithms

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46

Exploration Strategies

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Time Series Analysis
47

Time Series Fundamentals

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48

Applied Time Series

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Recommender Systems
49

Recommendation Approaches

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50

Advanced Recommendations

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Production ML and MLOps
51

Model Diagnostics

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52

Model Deployment

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53

MLOps Practices

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54

Privacy and Security

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55

Ethics and Explainability

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Advanced ML Topics
56

Data Quality Pitfalls

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57

Advanced Learning Paradigms

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58

Graph Neural Networks

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59

Model Efficiency

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60

Model Reliability

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61

Domain Adaptation

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Large Language Models
62

Working with LLMs

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