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Master Machine Learning & Python: A Beginner’s Guide to ML Algorithms, Python Programming Basics, Supervised Learning, AI Essentials, Hands-On Coding & Real-World Applications (Set of 2 Books)
Estimated delivery between September 02 and September 04.
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Master Machine Learning & Python: A Beginner’s Guide to ML Algorithms, Python Programming Basics, Supervised Learning, AI Essentials, Hands-On Coding & Real-World Applications (Set of 2 Books)
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Description
Python is the foundation of machine learning—and this combo helps you master both in the right sequence:
- Start mastering Python programming step by step
- Move on to applying your skills to real ML problems
- Learn concepts through practical examples and simplified theory
- Transition smoothly from beginner to confident ML coder
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: 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
- Learn how to handle errors and exceptions, making sure your code runs smoothly and efficiently
- Stay ahead of the curve by diving into exciting fields like AI, Machine Learning, and IoT with Python
Bibliographic Details
Pages: 574 pages
Paperback (ISBN): 9781636516035
Category: Business & Economics
Author: Dhairya Parikh, Shawn Peters, Vibrant Publishers
Table of Contents
Click on individual book titles below to view their complete Table of Contents.
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.
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.
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
What a great introduction to this topic, especially for a non-programmer like myself! The examples provided are easy to understand and apply, allowing me to try it out for myself to further cement my understanding of the steps involved. Read, See, Do. A great way to learn. I really enjoyed the quizzes at the end of each chapter, as they emphasized what the important takeaways were and reinforced what I did know - and what I didn’t. I’ll probably never become a programmer, but understanding how programming works is an asset to any user.
-- Sharon Peach B.Sc, B.Ed, M.Ed
This beginner-friendly guide makes mastering this versatile language accessible for everyone. It provides clear explanations and practical examples while avoiding technical jargon, making it perfect for absolute beginners and those at various skill levels. Even as someone who isn’t usually into programming, I found it easy to follow!
-- Samantha Nichols
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Our development team used this bundle to upskill in machine learning. The practical hands-on projects made it seamless to integrate data pipeline automation into our existing systems.
Great bundle for understanding cross-validation, precision-recall tradeoffs, dimensionality reduction with PCA, and building scalable scikit-learn machine learning pipelines.
Covers gradient descent, hyperparameter tuning, feature engineering, classification metrics, and clustering techniques with clear, intuitive explanations and zero unnecessary academic jargon.
If you want to move from basic scripting to building, testing, and tuning real predictive models in Python, this collection is an essential addition to your technical library.
The clean visual formatting, machine learning flowcharts, Python syntax cheat-sheets, and end-of-chapter practice tasks make self-paced learning fast and efficient.
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