Title: Machine Learning For Dummies, Author: John Paul Mueller
Title: Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications, Author: John Berryman
Title: Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, Author: Thomas Nield
Title: HBR Guide to Generative AI for Managers, Author: Elisa Farri
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: The Manga Guide to Linear Algebra, Author: Shin Takahashi
Title: Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps, Author: Valliappa Lakshmanan
Title: Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD, Author: Jeremy Howard
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Natural Language Processing with Transformers, Revised Edition, Author: Lewis Tunstall
Title: Essential GraphRAG: Knowledge Graph-Enhanced RAG, Author: Tomaz Bratanic
Title: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems, Author: Hala Nelson
Title: Practical MLOps: Operationalizing Machine Learning Models, Author: Noah Gift
Title: Reinforcement Learning, second edition: An Introduction, Author: Richard S. Sutton
Title: Probabilistic Machine Learning: An Introduction, Author: Kevin P. Murphy
Title: HBR Guide to Generative AI for Managers, Author: Elisa Farri
Title: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Author: Mike X Cohen
Title: The Developer's Playbook for Large Language Model Security: Building Secure AI Applications, Author: Steve Wilson
Title: Causal Inference in Python: Applying Causal Inference in the Tech Industry, Author: Matheus Facure
Title: Building Knowledge Graphs: A Practitioner's Guide, Author: Jesus Barrasa

Pagination Links