Chapman and Hall/CRC
A Course in Regression and Smoothing Methods
Theory of Computation for Software Developers
Symbolic Regression
Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities
Exploratory Data Analysis Using R
Cybersecurity: A Practical Introduction
The Hybrid Mind: Human AI Convergence
Data Science and Machine Learning for Non Programmers: Using SAS Enterprise Miner
Constraints and Advanced Solutions for LTE Heterogeneous Networks
Internet of Things and Big Data Analytics for a Green Environment
Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Reskilling and Upskilling in the Age of AI: A Practical Guide to Workforce Transformation
Algorithmic Trading via AI/Machine Learning with R
Advanced Basketball Data Science: With Applications in R
Explainable AI for Healthcare: Real Life Applications and Use Cases Practitioners
The Z Garbage Collector: In JDK 25
Advanced Data Science and Analytics with Python
Practical Statistics in Medicine with R: Understanding Fundamental Concepts through Examples
A Concise Introduction to Functional Analysis
Practical AI for Professionals: Understanding, Using, and Surviving
Time Series for Data Science: Analysis and Forecasting
An Introduction to Virtual and Augmented Reality: Designing Impactful Experiences
Cyber Physical System for Rural Development: Technological Innovations Sustainable Futures
Data as the Fourth Pillar: An Executive Guide for Scaling AI
Digital Accessibility Ethics: Disability Inclusion in All Things Tech
Applied Informatics for Industry 4.0
Out of Left Field: How Outsiders Have Shaped Statistical Thinking in Sports
Geometry of Derivation, Volume II: Theory Skewfield Flocks: 2
Gun Violence: The Statistical Issues
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