Lectures on Intelligent Systems

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques: 16th International Workshop, APPROX 2013, and 17th International Workshop, RANDOM 2013, Berkeley, CA, USA, August 21-23, 2013, Proceedings

Artificial Life and Evolutionary Computation: 16th Italian Workshop, WIVACE 2022, Gaeta, Italy, September 14–16, 2022, Revised Selected Papers

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings

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

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Applications of Evolutionary Computing: EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG,Tübingen, Germany, April 15-17, 2009, Proceedings

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

Programming Languages and Systems: 10th Asian Symposium, APLAS 2012, Kyoto, Japan, December 11-13, 2012, Proceedings

What Is Data Science?

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

Building Scalable Network Services: Theory and Practice

The Model Thinker: What You Need to Know to Make Data Work for You

Data Structures and Program Design Using C++

Progress in Cryptology -- LATINCRYPT 2015: 4th International Conference on Cryptology and Information Security in Latin America, Guadalajara, Mexico, August 23-26, 2015, Proceedings

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

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices