Title: Designing Large Language Model Applications: A Holistic Approach to LLMs, Author: Suhas Pai
Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Author: Aurélien Géron
Title: Practical MLOps: Operationalizing Machine Learning Models, Author: Noah Gift
Title: Deep Learning, Author: Ian Goodfellow
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Reinforcement Learning, second edition: An Introduction, Author: Richard S. Sutton
Title: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, Author: Chip Huyen
Title: Kernel Methods for Pattern Analysis, Author: John Shawe-Taylor
Title: The Developer's Playbook for Large Language Model Security: Building Secure AI Applications, Author: Steve Wilson
Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
Title: Deep Learning for Coders with fastai and PyTorch, Author: Jeremy Howard
Title: Hands-On Large Language Models: Language Understanding and Generation, Author: Jay Alammar
Title: Applications of Blockchain and Computational Intelligence in Environmental Sustainability, Author: Hamed Taherdoost
Title: Implementing MLOps in the Enterprise: A Production-First Approach, Author: Yaron Haviv
Title: AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications, Author: Alex Khang
Title: Data-Driven Fault Diagnosis: A Machine Learning Approach for Industrial Components, Author: Govind Vashishtha Pre-Order Now
Title: Graph Learning Techniques, Author: Baoling Shan
Title: Outlier Detection in Python, Author: Brett Kennedy
Title: Practical Data Mining Techniques and Applications, Author: Ketan Shah
Title: Deep Learning: A Beginners' Guide, Author: Dulani Meedeniya

Pagination Links