Beginner Machine Learning Part 2

Published 2/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

From Data to Insights: Your First Steps in Machine Learning as an AI technology

What you’ll learn

Foundations of Machine Learning: Understand key concepts, types of machine learning, and the role of data in building intelligent systems.

Data Handling Skills: Learn essential data preprocessing techniques, including cleaning, normalization, and encoding for effective analysis.

Supervised & Unsupervised Learning: Explore regression, classification, and clustering methods, along with evaluation metrics for model performance.

Ethics & Applications: Gain insights into ethical considerations in AI, including bias, fairness, and responsible practices in machine learning development.

Requirements

Basic Programming Knowledge: Familiarity with programming concepts, preferably in Python, as it is commonly used in machine learning.

Description

Overview

Section 1: Introduction

Lecture 1 Lecture 1: Advanced Classification Techniques

Lecture 2 Lecture 2: Unsupervised Learning

Lecture 3 Lecture 3: Dimensionality Reduction

Lecture 4 Lecture 4: Introduction to Neural Networks

Lecture 5 Lecture 5: Natural Language Processing (NLP)

Lecture 6 Lecture 6: Ethics in Machine Learning