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Artificial Intelligence and Machine Learning Fundamentals

Artificial Intelligence and Machine Learning Fundamentals

By : Nagy
4.3 (110)
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Artificial Intelligence and Machine Learning Fundamentals

Artificial Intelligence and Machine Learning Fundamentals

4.3 (110)
By: Nagy

Overview of this book

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
Table of Contents (9 chapters)
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Mean Shift Algorithm

Mean shift is a hierarchical clustering algorithm. Unlike the k-means algorithm, in mean shift, the clustering algorithm determines how many clusters are needed, and also performs the clustering. This is advantageous because we rarely know how many clusters we are looking for.

This algorithm also has many use cases in our everyday lives. For instance, the Xbox Kinect device detects human body parts using the mean shift algorithm. Some mobile phones also use the Mean Shift algorithm to detect faces. With the growth of social media platforms, image segmentation is a feature that many users have gotten used to. As image segmentation is also a basis of computer vision, some applications can be found there. The mean shift algorithm may also save lives, as it is built into the car detection software of many modern cars. Imagine that someone emergency brakes in front of you. The image segmentation software of your car detects that the car in front of you is getting...

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83
Tech Concepts
36
Programming languages
73
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Artificial Intelligence and Machine Learning Fundamentals
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