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Crash Course in AI & Data: Master Machine Learning, Python & Analytics With No Prior Experience
Estimated delivery between August 26 and August 28.
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Crash Course in AI & Data: Master Machine Learning, Python & Analytics With No Prior Experience
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Pages: 792 pages
Paperback (ISBN): 9781636516028
Category: Business & Economics
Author: Dhairya Parikh, Shawn Peters, Dr. Bianca Szasz, Vibrant Publishers
Most data science journeys start with Python, move into data analytics, and lead to machine learning. This combo brings all three together in one easy-to-follow package:
- Python Essentials gives you coding confidence from scratch
- Data Analytics Essentials teaches you how to find insights in data
- Machine Learning Essentials shows you how to make predictions and automate decisions
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
- 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: Python Essentials You Always Wanted to Know
With this book, you will:
- Gain a solid foundation in Python, making it easier to progress to more advanced topics with simple and step-by-step explanations
- Get a deep understanding of object-oriented programming principles, which are vital skills for writing clean, scalable, and reusable Python code
- Stay ahead of the curve by diving into exciting fields like AI, Machine Learning, and IoT with Python
Click here to learn more about the book
Book 3: 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
- 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 on individual book titles below to view their complete Table of Contents.
Machine Learning Essentials You Always Wanted to Know
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.
Shawn Peters has 19 years of teaching experience, is certified in Python Programming Teaching from the College of the North Atlantic, and also specializes in JavaScript and Java.
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.
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.
This book offers a beginner-friendly approach to learning Python, focusing not only on syntax but also on problem-solving, which is key for effective programming. The author’s clear intent is to make coding enjoyable and relevant, providing examples that are simple yet significant to help readers follow along. The emphasis is on applying coding skills practically, with quizzes and case studies included to solidify understanding. By the end, readers will grasp essential concepts such as Python syntax, data structures, error handling, and object-oriented programming, all while gaining the confidence to solve real-world problems. Having an understanding of these concepts, you will be well-prepared to tackle more advanced Python topics and apply your skills to real-life coding challenges.
-- LooYee NG, Solutions Architect at CTMG
I think this text is a comprehensive yet succinct manual. It gives a usable introduction to data analytics and is easy to read and comprehend. An added benefit is that the book contains real-world case studies and interesting facts to help enhance existing knowledge.
A key strength of this text is the option to choose the topics that you want to focus on and the resources that you want to use. This flexibility makes self-directed learning a great option for busy professionals who want to add data analytics skills to their repertoire. If you're interested in self-directed learning for data analytics, there are a few things you need to do to get started, and this text will help!
-- David E Reva Instructor - CIS, Kalamazoo Valley Community College
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