Federated Learning: Privacy and Incentive

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Edition 2

Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis

Game Theory for Data Science: Eliciting Truthful Information

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers

The Magic Of AI: Best Ways to Simplify Everyday Life

Recent Advances in Constraints: Joint ERCIM/CoLogNET International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2004, Lausanne, Switzerland, June 23-25, 2004, Revised Selected and Invited Papers

Storytelling with Data: Let's Practice!

Realizing the Metaverse: A Communications and Networking Perspective

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, Edition 3

Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Part II

Developing High-Frequency Trading Systems: Learn how to implement high-frequency trading from scratch with C++ or Java basics

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

Apache Spark Graph Processing

Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products