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Graph Machine Learning & Machine Learning Essentials You Always Wanted to Know

Graph Machine Learning & Machine Learning Essentials You Always Wanted to Know

Name: Graph Machine Learning & Machine Learning Essentials You Always Wanted to Know
SKU: 9781636517766
Price: 970.00 INR
Availability: InStock

GNNs, PyTorch Geometric, Supervised, Unsupervised, and Deep Learning Algorithms — Set of 2 Books

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Description

Build a Strong Foundation in Modern Machine Learning

Build a strong foundation in modern machine learning with this practical 2-book collection—whether you're just starting out or looking to deepen your technical expertise in AI.

Book 1 – Graph Machine Learning Essentials

Understand graph fundamentals, node embeddings, and message passing from basic concepts to practical implementation
Build Graph Neural Networks with PyTorch Geometric and learn about scalability, oversmoothing, and real-world challenges
See how graph machine learning applies to social networks, fraud detection, recommender systems, bioinformatics, and knowledge graphs

Book 2 – Machine Learning Essentials You Always Wanted to Know

Discover what machine learning is, how it evolved, and where it shows up in everyday products
Learn the ML workflow—data, models, training, and evaluation—with beginner-friendly explanations
Explore supervised and unsupervised learning, plus an introduction to deep learning

Together, these books equip you with both foundational knowledge and specialized skills in graph-based AI, positioning you to advance your career in machine learning, data science, and artificial intelligence.

Bibliographic Details

Pages: 476 pages

Paperback (ISBN): 9781636517766

Category: Business & Economics

Author: Dhairya Parikh, Pintu Kumar, 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

Graph Machine Learning Essentials

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.

Pintu Kumar is a Ph.D. scholar at IIT Bombay specializing in graph machine learning. A PMRF fellow and Silver Medalist in Mathematics, he focuses on research, teaching, and making complex ideas accessible.

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.