Machine Learning1: UNIT 1 (A) NOTEs : The Machine Learning Landscape NOTEs

 Unit I

The Machine Learning Landscape

1.     What Is Machine Learning?

2.     Why Use Machine Learning?

3.     Types of Machine Learning Systems

4.     Supervised/Unsupervised Learning

5.     Batch and Online Learning

6.     Instance-Based Versus Model-Based Learning

 

 

About Machine Learning

 

Machine Learning

👉  About Machine Learning 1

• The Machine Learning Landscape
• Classification
• Support Vector Machines
• Decision Trees
• Ensemble Learning and Random Forests
• Dimensionality Reduction
• Clustering
• 👉 YouTube Link: https://www.youtube.com/@drrambabupemula

👉 About Machine Learning 2 

• Introduction
• Concept Learning and the General to Specific Ordering
• Decision Tree Learning
• Artificial Neural Networks
• Bayesian Learning
• Instance-Based Learning
• Genetic Algorithms
• Learning Sets of Rules
• Analytical Learning
• Reinforcement Learning

👉 About Machine Learning 3

• Introduction 
• Data Pre-processing
• Performance measurement of models 
• Supervised Learning 
• Decision Tree Learning 
• Unsupervised Learning 
• Ensemble Models

👉 Machine Learning MCQs

👉 Machine Learning Programs