Book Image

Artificial Intelligence in 3 Hours [Video]

By : Luka Anicin
4 (1)
Book Image

Artificial Intelligence in 3 Hours [Video]

4 (1)
By: Luka Anicin

Overview of this book

<p>What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real-world problems being solved with applications of intelligence (AI). This course provides you with a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.</p> <p>In this course, you will progress to advanced AI techniques and concepts, and work on real-life datasets on how training works, model evaluation and how to process their first dataset in Supervised and Unsupervised Learning. You will be introduced to neural networks, machine Learning, and Deep Learning. You will understand the concept of Artificial Intelligence and how it is applicable in the enterprise context. You will then cover the basics of machine learning relate how Deep Learning and AI fits with them.</p> <p>Finally, you will see understand, Deep Reinforcement Learning and will be able to implement AI in your applications.</p> <h1>Style and Approach</h1> <p>A comprehensive course that takes you through AI in 3 hours. It is packed with step by step instructions and working examples.</p>
Table of Contents (5 chapters)
Chapter 1
Understanding Supervised Machine Learning
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Section 5
Intuition Behind K-Nearest Neighbors Algorithm
When learning a concept, such as machine learning algorithm, it is very important to understand it on the intuitive level. The goal of this video is to explain the intuition behind K Nearest Neighbors algorithm. - Understand the process of training the KNN algorithm on an example - Understand what Euclidean distance is - Explain the intuition of KNN evaluation process