Title: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Author: Mike X Cohen
Title: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems, Author: Hala Nelson
Title: Graph Neural Networks in Action, Author: Keita Broadwater
Title: Designing Large Language Model Applications: A Holistic Approach to LLMs, Author: Suhas Pai
Title: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning, Author: Daniel Situnayake
Title: Grokking Machine Learning, Author: Luis Serrano
Title: Distributed Machine Learning Patterns, Author: Yuan Tang
Title: Reliable Machine Learning: Applying SRE Principles to ML in Production, Author: Cathy Chen
Title: Introducing MLOps: How to Scale Machine Learning in the Enterprise, Author: Mark Treveil
Title: Building Quantum Software in Python: A developer's guide, Author: Constantin Gonciulea
Title: Hands-On APIs for AI and Data Science: Python Development with FastAPI, Author: Ryan Day
Title: Reinforcement Learning for Finance: A Python-Based Introduction, Author: Yves Hilpisch
Title: Algorithms for Decision Making, Author: Mykel J. Kochenderfer
Title: Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics, Author: George Mount
Title: Data-Driven Cybersecurity: Reducing risk with proven metrics, Author: Mariano Mattei
Title: Data Science: The Hard Parts: Techniques for Excelling at Data Science, Author: Daniel Vaughan
Title: Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk, Author: Abdullah Karasan
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI, Author: Robert (Munro) Monarch
Title: The Developer's Playbook for Large Language Model Security: Building Secure AI Applications, Author: Steve Wilson

Pagination Links