Udemy - Machine Learning Explained - A Complete Conceptual Guide

Machine Learning Explained: A Complete Conceptual Guide

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.34 GB | Duration: 3h 3m

A Complete Conceptual Guide to Machine Learning Without Coding

What you'll learn
What Machine Learning is and how it differs from traditional programming
Key ML terms, concepts, and categories
How ML is used in the real world
What data means in ML
Types of data and how it affects model performance
What features are and why they matter
How feature engineering improves results
How supervised learning works
Difference between classification and regression
How ML models learn from labeled data
Overfitting, underfitting, and generalization
What unsupervised learning is
How algorithms find hidden patterns
Understanding clustering
Understanding dimensionality reduction
What reinforcement learning is
How agents learn through rewards and actions
Real-world examples of RL
What model evaluation means
Bias, variance, and the trade-off
Choosing the right evaluation metric
How to think about improving model performance
What deep learning is
How artificial neural networks work
How neural networks learn
Where deep learning is used in the real world
How ML projects are planned from start to finish
Steps involved in building an ML solution
Common challenges teams face in real-world ML work
What responsible and ethical AI means
How all ML concepts connect
How to continue learning ML after this course
How to build confidence in understanding ML ideas

Requirements
No prior experience needed; just basic computer use and an interest in understanding Machine Learning concepts.