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Machine Learning Solutions
book

Machine Learning Solutions

by Jalaj Thanaki
April 2018
Beginner to intermediate content levelBeginner to intermediate
566 pages
12h 17m
English
Packt Publishing

Overview

"Machine Learning Solutions" by Jalaj Thanaki takes you on a comprehensive journey through advanced machine learning concepts and their real-world applications. This book focuses on providing actionable insights and techniques to tackle a variety of problems, from choosing the right algorithm to building applications like recommendation engines or chatbots. You'll build practical skills through hands-on examples.

What this Book will help me do

  • Develop expertise in selecting optimal machine learning algorithms for various use cases.
  • Gain proficiencies in predictive analytics, enabling accurate decision-making.
  • Master the creation of NLP applications like text summarization and chatbots for different domains.
  • Learn to build advanced computer vision models such as facial recognition systems.
  • Enhance your ability to handle real-world issues such as data cleaning, avoiding overfitting, and optimizing parameters.

Author(s)

Jalaj Thanaki is a seasoned expert in the field of machine learning and artificial intelligence. With years of experience solving complex problems using ML across multiple domains, she has developed a practical approach to teaching others. Through her writings, Jalaj aims to make advanced topics accessible and actionable, helping learners excel in their careers.

Who is it for?

If you are a data scientist, machine learning engineer, or a Python programmer with a keen interest in applying ML to solve real-world problems, this book is designed for you. Readers with intermediate Python scripting skills and familiarity with basic ML concepts will find the hands-on examples and projects particularly beneficial. Whether your goal is to create ML applications or improve existing projects, this book provides the guidance needed.

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Publisher Resources

ISBN: 9781788390040Supplemental Content