• Title: Approaching (Almost) Any Machine Learning Problem
• Author(s): Abhishek Thakur
• Publisher: Abhishek Thakur (Self-Publishing)
• License(s): CC BY 4.0
• Hardcover/Paperback: 300 pages
• eBook: PDF
• Language: English
• ISBN-10/ASIN: 9390274435/8269211508
• ISBN-13: 978-9390274437
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Book Description

This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics.

The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along.

• Abhishek Thakur is a data scientist. His focus is mainly on applied machine learning and deep learning, rather than theoretical aspects.

• Amazon

• Machine Learning
• Neural Networks and Deep Learning
• Artificial Intelligence and Logic Programming

• Approaching (Almost) Any Machine Learning Problem (Abhishek Thakur)
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