Title: Hands-On APIs for AI and Data Science: Python Development with FastAPI, Author: Ryan Day
Title: Hands-On Generative AI with Transformers and Diffusion Models, Author: Omar Sanseviero
Title: Building Knowledge Graphs: A Practitioner's Guide, Author: Jesus Barrasa
Title: Math and Architectures of Deep Learning, Author: Krishnendu Chaudhury
Title: Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines, Author: Robert Crowe
Title: Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics, Author: George Mount
Title: Practical MLOps: Operationalizing Machine Learning Models, Author: Noah Gift
Title: Grokking Machine Learning, Author: Luis Serrano
Title: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning, Author: Daniel Situnayake
Title: Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More, Author: Olivier Caelen
Title: Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness, Author: Evren Eryurek
Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Author: Aur lien G ron
Title: Introducing MLOps: How to Scale Machine Learning in the Enterprise, Author: Mark Treveil
Title: Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python, Author: Sofien Kaabar
Title: Learn Generative AI with PyTorch, Author: Mark Liu
Title: Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud, Author: Marco Tranquillin
Title: Building Recommendation Systems in Python and JAX: Hands-On Production Systems at Scale, Author: Bryan Bischof
Title: Reliable Machine Learning: Applying SRE Principles to ML in Production, Author: Cathy Chen
Title: Causal Inference for Data Science, Author: Alex Ruiz de Villa
Title: Outlier Detection in Python, Author: Brett Kennedy

Pagination Links