Master Machine Learning & Data Analytics

What you’ll learn – supervised, unsupervised, and reinforcement learning

Beginner AI and machine learning roadmap with Python and data analytics

Master Machine Learning & Data Analytics

Name: Master Machine Learning & Data Analytics
SKU: 9781636516042
Price: 832.00 INR
Availability: InStock

Learn Key ML Algorithms, Data Visualization Techniques, Predictive Analytics & Real-World Applications for Business and Career Growth (Set of 2 Books)

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Description

2 Books, 1 Powerful Foundation

Get started with the essentials of data science and machine learning. This combo bridges foundational data analytics with applied machine learning. Whether you’re a beginner, entrepreneur, or early-career professional, this practical set will help you:

Understand data-driven thinking
Develop predictive models
Make informed business decisions
Boost your job readiness in tech and analytics roles

What each book offers?

Book 1: Machine Learning Essentials You Always Wanted to Know

With this book, you will:

Learn how data fuels modern machine learning systems, from training algorithms to making accurate predictions
Understand the core concepts of supervised and unsupervised learning, including key techniques like regression and classification
Tackle complex topics like deep learning and neural networks—made easy with clear, beginner-friendly explanations
Discover how ML is applied in the real world, with examples from industries like healthcare, education, and more

Click here to learn more about the book

Book 2: Data Analytics Essentials You Always Wanted to Know

With this book, you will:

Get a clear understanding of key concepts, terminology, and the evolution of data analytics
Learn about the different types of data analytics and how they are applied in various industries
Understand the transformative role of Big Data and how it reshapes industries globally
Explore how industry giants like Walmart and Netflix use data analytics to drive business decisions

Click here to learn more about the book

Bibliographic Details

Pages: 492 pages

Paperback (ISBN): 9781636516042

Category: Business & Economics

Author: Dhairya Parikh, Dr. Bianca Szasz, Vibrant Publishers

Table of Contents

Click on individual book titles below to view their complete Table of Contents.

Machine Learning Essentials You Always Wanted to Know

Data Analytics Essentials You Always Wanted To Know

Author

Dhairya Parikh is a seasoned data engineer, a graduate of the University of Waterloo, and a technical writer with expertise in AI, data science, and practical ML applications.

Dr. Bianca Szasz is a Ph.D. holder in Space Engineering. In over 14 years of experience in engineering and a dedicated focus of 4 years in data analytics, she has used data analytics in a variety of innovative projects, like post-processing of the wind tunnel test results and the analysis of high enthalpy heating test results. Her enthusiasm for data analytics eventually expanded beyond using it for work. Now she is passionate about educating the future generation of data analysts.

Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.

Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

Series

The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.

Editorial Reviews

Thanks for the opportunity to review this book. A really good introduction to data analytics, set out logically and sequentially building knowledge and understanding as I read. I was able to put into practice what I was learning and really appreciated the summary and quizzes.
Recommend.
-- Emma Dresser, Senior Project Manager

Great book! It helped me understand all we can do with data analytics tools and, thanks to this book, I have started to implement some data analytics techniques at my own job!
-- Sara Szasz, Chief Economist