System Requirements Capturing Model (SRCM) For AI Learning
Machine Learning for High-Risk Applications: Approaches to Responsible AI
Mathematics for Machine Learning
Mathematical Analysis of Machine Learning Algorithms
Grokking Deep Reinforcement Learning
The Digital Turn in Religious Studies: Research, Services, Infrastructures
Introduction to Machine Learning with Python: A Guide for Data Scientists
Hands-On Large Language Models: Language Understanding and Generation
Designing Large Language Model Applications: A Holistic Approach to LLMs
3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph
Causal Inference in Python: Applying Causal Inference in the Tech Industry
Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play
Learning Spark: Lightning-fast Data Analytics
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
AI Value Creators: Beyond the Generative AI User Mindset
LLMOps: Managing Large Language Models in Production
Hands-On Generative AI with Transformers and Diffusion Models
Python Data Science Handbook: Essential Tools for Working with Data

