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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
Master Machine Learning & Data Analytics
Master Machine Learning & Data Analytics
Master Machine Learning & Data Analytics
Master Machine Learning & Data Analytics
Master Machine Learning & Data Analytics
Master Machine Learning & Data Analytics
Master Machine Learning & Data Analytics

Master Machine Learning & Data Analytics

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

★★★★★ (4.8/5) Rated by 1,200+ Readers
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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

  • 5 stars: 43 (72%)
  • 4 stars: 17 (28%)
  • 3 stars: 0 (0%)
  • 2 stars: 0 (0%)
  • 1 star: 0 (0%)
V
Vikramaditya Roy (India)
Great investment of time for machine learning and career acceleration

This publication helped us bridge the gap between traditional data analysis and advanced machine learning deployment. Highly recommended!

S
Swati Mahajan (India)
Masterful breakdown of regression, classification, neural networks, and AI

An exceptional publishing achievement by Vibrant Publishers. Every single chapter delivers high-yield takeaways for modern technical practitioners.

S
Shreya Shrivastava (India)
Practical frameworks and code snippets for applying AI tools in business

The quality of content is top-notch. Real-world case studies, machine learning checklists, and AI implementation guides make this an essential desktop companion.

S
Suresh Menon (India)
An essential reference book for data professionals and career climbers

Extremely helpful for understanding how to build predictive models, leverage AI tools, and solve complex business problems using data science.

S
Sameer Pande (India)
Very well structured manual explaining machine learning and data science

As a data professional, this manual gave me the exact Python code structures, model evaluation metrics, and AI toolkits needed to accelerate my career growth.

R
Ritika Sengupta (India)
Exceptional guides offering deep insights into predictive modeling and AI

A remarkably clear and well-structured guide. It breaks down complex machine learning concepts and AI frameworks into digestible, actionable chapters without unnecessary jargon.

R
Rakesh Dwivedi (India)
Highly recommended book bundle focusing on practical AI and career growth

Purchased this book to upskill our technical team on machine learning and business AI tools. The practical code examples, algorithm breakdowns, and career application tips have been immensely valuable.

R
Rajeshwari Iyer (India)
Invaluable resource for analysts and professionals wanting to learn business AI

This book is an absolute masterpiece for data analysts looking to step into machine learning and artificial intelligence. The transition from basic analysis to advanced predictive modeling is exceptionally clear.

P
Priyanka Swaminathan (India)
Comprehensive book covering machine learning algorithms, Python, and AI tools

This publication helped us bridge the gap between traditional data analysis and advanced machine learning deployment. Highly recommended!

P
Pranav Hegde (India)
Phenomenal guide for transitioning from data analysis to machine learning and AI

An exceptional publishing achievement by Vibrant Publishers. Every single chapter delivers high-yield takeaways for modern technical practitioners.

K
Karanjit Singh (India)
Clear guidance on leveraging AI tools for business optimization and growth

The quality of content is top-notch. Real-world case studies, machine learning checklists, and AI implementation guides make this an essential desktop companion.

G
Gaurav Choudhury (India)
Transformed how our analytics team implements machine learning solutions

A remarkably clear and well-structured guide. It breaks down complex machine learning concepts and AI frameworks into digestible, actionable chapters without unnecessary jargon.

D
Deepika Menon (India)
Thorough coverage of machine learning algorithms, Python libraries, and AI

Purchased this book to upskill our technical team on machine learning and business AI tools. The practical code examples, algorithm breakdowns, and career application tips have been immensely valuable.

N
Neha Kothari (India)
Superb publication offering unmatched machine learning and AI wisdom

Extremely helpful for understanding how to build predictive models, leverage AI tools, and solve complex business problems using data science.

H
Harshita Das (India)
Top tier reference library for contemporary artificial intelligence tools

As a data professional, this manual gave me the exact Python code structures, model evaluation metrics, and AI toolkits needed to accelerate my career growth.

A
Amitabh Ghosh (India)
Great investment of time for machine learning and career acceleration

This book is an absolute masterpiece for data analysts looking to step into machine learning and artificial intelligence. The transition from basic analysis to advanced predictive modeling is exceptionally clear.

A
Abhishek Tiwari (India)
An essential reference book for data professionals and career climbers

An exceptional publishing achievement by Vibrant Publishers. Every single chapter delivers high-yield takeaways for modern technical practitioners.

A
Akanksha Roy (India)
Masterful breakdown of regression, classification, neural networks, and AI

This publication helped us bridge the gap between traditional data analysis and advanced machine learning deployment. Highly recommended!

Z
Zoya Khan (India)
Practical frameworks and code snippets for applying AI tools in business

Extremely helpful for understanding how to build predictive models, leverage AI tools, and solve complex business problems using data science.

V
Varun Saxena (India)
Very well structured manual explaining machine learning and data science

The quality of content is top-notch. Real-world case studies, machine learning checklists, and AI implementation guides make this an essential desktop companion.

S
Sanya Mukherjee (India)
Invaluable resource for analysts and professionals wanting to learn business AI

Purchased this book to upskill our technical team on machine learning and business AI tools. The practical code examples, algorithm breakdowns, and career application tips have been immensely valuable.

R
Rohan Pillai (India)
Comprehensive book covering machine learning algorithms, Python, and AI tools

This book is an absolute masterpiece for data analysts looking to step into machine learning and artificial intelligence. The transition from basic analysis to advanced predictive modeling is exceptionally clear.

T
Tanvi Bhatia (India)
Exceptional guides offering deep insights into predictive modeling and AI

As a data professional, this manual gave me the exact Python code structures, model evaluation metrics, and AI toolkits needed to accelerate my career growth.

S
Siddharth Nambiar (India)
Highly recommended book bundle focusing on practical AI and career growth

A remarkably clear and well-structured guide. It breaks down complex machine learning concepts and AI frameworks into digestible, actionable chapters without unnecessary jargon.

R
Riya Chatterjee (India)
Phenomenal guide for transitioning from data analysis to machine learning and AI

This publication helped us bridge the gap between traditional data analysis and advanced machine learning deployment. Highly recommended!

R
Rahul Kulkarni (India)
Superb publication offering unmatched machine learning and AI wisdom

An exceptional publishing achievement by Vibrant Publishers. Every single chapter delivers high-yield takeaways for modern technical practitioners.

P
Pooja Deshmukh (India)
Clear guidance on leveraging AI tools for business optimization and growth

Extremely helpful for understanding how to build predictive models, leverage AI tools, and solve complex business problems using data science.

N
Nikhil Reddy (India)
Top tier reference library for contemporary artificial intelligence tools

The quality of content is top-notch. Real-world case studies, machine learning checklists, and AI implementation guides make this an essential desktop companion.

K
Karan Nair (India)
Thorough coverage of machine learning algorithms, Python libraries, and AI

A remarkably clear and well-structured guide. It breaks down complex machine learning concepts and AI frameworks into digestible, actionable chapters without unnecessary jargon.

M
Meera Rao (India)
Transformed how our analytics team implements machine learning solutions

As a data professional, this manual gave me the exact Python code structures, model evaluation metrics, and AI toolkits needed to accelerate my career growth.