 Название: Machine Learning: Introduction to Supervised and Unsupervised Learning Algorithms with Real-World Applications
Автор: Morgan Maynard
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.5 MB
Do You Know How Computers Learn? Machine Learning is a branch of computer science that is changing how we program computers. They want to stop using a detailed list of actions and instead implement high-level routines that can teach how to solve new and diverse problems – these are learning algorithms. In practice, these Algorithms empower computers to Learn and to Adapt.
We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by many people.
Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms in use today. I will show you exactly how each algorithm works, why it works and when you should use it.
Supervised Learning Algorithms:
K-Nearest Neighbour
Naïve Bayes
Regressions
Unsupervised Learning Algorithms:
Support Vector Machines
Neural Networks
Decision Trees
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Machine Learning: Introduction to Supervised and Unsupervised Learning Algorithms with Real-World Applications 