R Machine Learning By Example

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

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

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

R: Unleash Machine Learning Techniques

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

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

What Is Data Science?

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

Data Structures and Program Design Using C++

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

Building Data Science Teams

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

DATA SCIENCE WITH MYSQL, SQLITE, POSTGRESQL, AND SQL SERVER USING PYTHON GUI

The Evolution of Data Products

Think Stats: Exploratory Data Analysis, Edition 2

FOUR PROJECTS: PREDICTION AND FORECASTING USING MACHINE LEARNING WITH PYTHON

Disruptive Possibilities: How Big Data Changes Everything