Machine Learning, Python & Data Analytics Essentials: Master AI, Data Science, and Analytics for Career Growth | Comprehensive Combo for Beginners & Professionals (Set of 3 Books) - Couverture souple

Dhairya Parikh; Shawn Peters; Dr. Bianca Szasz; Vibrant Publishers

Couverture souple

ISBN 10 : 1636516025 ISBN 13 : 9781636516028

Editeur : Vibrant Publishers, 2026

Synopsis

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 does each book offer?

Book 1: Machine Learning Essentials You Always Wanted to Know

• 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

Book 2: Python Essentials You Always Wanted to Know

• 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

Book 3: Data Analytics Essentials You Always Wanted to Know

• 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

Détails de l'édition

• Éditeur: Vibrant Publishers
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1636516025
• ISBN 13: 9781636516028
• Reliure: Paperback
• Nombre de pages: 792
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible