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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
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.
Artificial Intelligence Essentials, Machine Learning Essentials, Graph Machine Learning Essentials & Python Essentials — Set of 4 Books
Artificial Intelligence Essentials, Machine Learning Essentials, Graph Machine Learning Essentials & Python Essentials — Set of 4 Books
Build a strong foundation in Artificial Intelligence, Machine Learning, Graph Machine Learning, and Python programming with this comprehensive 4-book collection. Designed for students, aspiring AI professionals, developers, and career switchers, this set combines practical learning, hands-on exercises, and real-world applications to help you develop in-demand technical skills.
Book 1 – Graph Machine Learning Essentials
- Grasp the essentials of graphs, node embeddings, and core learning tasks
- Master Graph Neural Networks through message passing and hands-on implementation in PyTorch Geometric
- Apply graph techniques to real-world problems: fraud detection, cybersecurity, drug discovery, and personalized recommendations
Book 2 – Artificial Intelligence Essentials You Always Wanted to Know
- Build a solid understanding of AI fundamentals, machine learning, deep learning, NLP, computer vision, and Generative AI
- Learn supervised, unsupervised, and reinforcement learning concepts
- Discover ethical AI practices, real-world industry applications, and access AI career preparation resources
Book 3 – Machine Learning Essentials You Always Wanted to Know
- Master core machine learning concepts with hands-on coding
- Learn supervised, unsupervised, reinforcement, and deep learning algorithms
- Develop machine learning models through real-world applications
Book 4 – Python Essentials You Always Wanted to Know
- Learn Python programming from the ground up with beginner-friendly explanations
- Practice data structures, object-oriented programming, data analytics, and modular programming
- Apply Python to analyze data and uncover valuable business insights
Whether you're beginning your AI journey or expanding your technical expertise, this comprehensive set provides the knowledge and practical skills needed for modern AI, machine learning, graph data, and Python development.
