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

Computational Context: The Value, Theory and Application of Context with AI

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

Robust Intelligence and Trust in Autonomous Systems

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

Distributed Data Fusion for Network-Centric Operations

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

Autonomy and Artificial Intelligence: A Threat or Savior?

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

Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge

The Magic Of AI: Best Ways to Simplify Everyday Life

Storytelling with Data: Let's Practice!

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

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

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