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Machine Learning: A Technical Approach To Machine Learning For Beginners 2 books in one This book contains: Machine Learning: A Technical Approach To Machine Learning For Beginners Machine Learning: A Guide For Beginners What exactly is machine learning and why is it so valuable in the online business world? Simply put, it is a method of data analysis that uses algorithms that learn from data and produce specific results without being specifically programmed to do so. These algorithms can analyze data, calculate how frequently certain parts of it are used and generate responses based on these calculations in order to automatically interact with users. Here is a preview of what you'll learn: -what machine learning is -how does machine learning work? -why it is so important -machine learning and artificial intelligence -some of the branches of artificial intelligence -deep neural networks -decision trees in relation to Machine Learning -logistic regression -what Python is and how to get started with it Much more inside the book...
This book investigates the fundamental concepts and practical applications of machine learning, particularly for those new to the field. It aims to demystify machine learning by explaining what it is, how it functions, and its significance in the business world, especially online. The text covers core topics such as the relationship between machine learning and artificial intelligence, deep neural networks, decision trees, and logistic regression, while also introducing Python as a tool for implementation.
The book is structured as a beginner's guide, aiming to provide a foundational understanding of machine learning concepts and their practical relevance. It covers a range of topics from basic definitions to specific algorithms and programming tools like Python. The content suggests an accessible approach for individuals seeking to enter the field of machine learning without prior technical expertise.
Page Count:
166
Publication Date:
2018-03-18
Publisher:
CreateSpace Independent Publishing Platform
ISBN-10:
1986616223
ISBN-13:
9781986616225
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