Mathematics of Evolution and Phylogeny

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

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

Reconstructing Evolution: New Mathematical and Computational Advances

Decoding the Universe: How the New Science of Information Is Explaining Everythingin the Cosmos, fromOu r Brains to Black Holes

Computational Biology: First International Conference on Biology, Informatics, and Mathematics, JOBIM 2000 Montpellier, France, May 3-5, 2000 Selected Papers

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

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

What Is Data Science?

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

Domain Modeling Made Functional: Tackle Software Complexity with Domain-Driven Design and F#

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

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

Data Structures and Program Design Using C++

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

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

Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool

Building Data Science Teams

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking