Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes

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

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

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

Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

MATLAB for Machine Learning

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

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

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

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

Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine

What Is Data Science?

The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions

TIME-SERIES ANALYSIS: FORECASTING STOCK PRICE USING MACHINE LEARNING WITH PYTHON GUI

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Python: Master the Art of Design Patterns

Building Data Science Teams

GOOGLE STOCK PRICE: TIME-SERIES ANALYSIS, VISUALIZATION, FORECASTING, AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI

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