CourseGenix

Machine Learning Fundamental

3 Units11 Lessons

Unit 1

Basics

Introduction to Machine Learning Concepts

Types of Machine Learning

Understanding Data in Machine Learning

Real-World Application: Predicting Weather Patterns

Unit 2

Supervised Learning

Core Principles of Supervised Learning

Regression Techniques in Supervised Learning

Classification Methods in Supervised Learning

Real-World Project: Disease Diagnosis Prediction

Unit 3

Model Evaluation and Optimization

Key Metrics for Model Evaluation

Techniques for Model Optimization

Real-World Application: Optimizing a Recommendation System

Unit 1•Chapter 2

Types of Machine Learning

Summary

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Concept Check

0/5

Which machine learning type uses labeled data for prediction?

Semi-Supervised Learning

Supervised Learning

Unsupervised Learning

Reinforcement Learning

What type identifies patterns without labeled data?

Transfer Learning

Unsupervised Learning

Supervised Learning

Reinforcement Learning

Which learning involves rewards from environment interactions?

Reinforcement Learning

Supervised Learning

Unsupervised Learning

Active Learning

What combines labeled and unlabeled data for training?

Supervised Learning

Unsupervised Learning

Semi-Supervised Learning

Reinforcement Learning

In which type is the goal to maximize long-term rewards?

Reinforcement Learning

Supervised Learning

Unsupervised Learning

Self-Supervised Learning

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