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High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)
Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)
Introduction to NFL Analytics with R (Chapman & Hall/CRC Data Science Series)
Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Development of Gene Therapies: Strategic, Scientific, Regulatory, and Access Considerations
Controlled Epidemiological Studies
Systems Medicine (Chapman & Hall/CRC Computational Biology Series)
Flexible Imputation of Missing Data, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics) 2nd Edition
Design and Analysis of Experiments with SAS (Chapman & Hall/CRC Texts in Statistical Science)
Data Science in Practice (Chapman & Hall/CRC Data Science Series)
Deep Learning and Scientific Computing with R torch
Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Analyzing Baseball Data with R, Second Edition (Chapman & Hall/CRC The R Series) 2nd Edition
Advanced R, Second Edition (Chapman & Hall/CRC The R Series) 2nd Edition
DATA MINING: A TUTORIAL-BASED PRIMER, SECOND EDITION
Introduction to Modern Cryptography (Chapman & Hall/CRC Cryptography and Network Security Series)
Introduction to Network Security (Chapman & Hall/CRC Cryptography and Network Security Series)
Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming (Chapman & Hall/CRC Textbooks in Computing)
CRC Press Statistical Rethinking: A Bayesian Course with Examples in R and STAN
Flexible Imputation of Missing Data, Second Edition
Statistical Analytics for Health Data Science with SAS and R
Unmatched (Chapman & Hall/CRC Computational Science)
Big Data of Complex Networks (Chapman & Hall/CRC Big Data Series) [Paperback] Dehmer, Matthias; Emmert-Streib, Frank; Pickl, Stefan and Holzinger, Andreas
A Concise Introduction to Pure Mathematics
Clinical Trial Optimization Using R
Computational Genomics with R (Chapman & Hall/CRC Computational Biology Series)
Methods and Applications of Autonomous Experimentation
Introduction to Bioinformatics
Artificial Intelligence: With an Introduction to Machine Learning, Second Edition
Graphical Data Analysis with R
Drug Development for Rare Diseases
Generalized Linear Models (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Introduction to Scientific Programming and Simulation Using R
Measuring Statistical Evidence Using Relative Belief
Measurement Error: Models, Methods, and Applications
Machine Learning for Factor Investing: Python Version
Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) 3rd Edition
A First Course in Machine Learning
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Bayesian Modeling and Computation in Python
Transformers for Machine Learning: A Deep Dive
Commodities: Fundamental Theory of Futures, Forwards, and Derivatives Pricing
Introduction to Python for Humanists
Computational Genomics with R
Spatial Statistics for Data Science: Theory and Practice with R
Introduction to Probability, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition
Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R (Chapman & Hall/CRC The R Series)
Statistics and Data Visualisation with Python
Introduction to Financial Derivatives with Python
Dependence Modeling with Copulas
An Introduction to Systems Biology: Design Principles of Biological Circuits
Handbook of Finite Translation Planes
Introduction to Probability with R (Chapman & Hall/CRC Texts in Statistical Science)
Python for Scientific Computing and Artificial Intelligence
Modeling Fixed Income Securities and Interest Rate Options
Handbook of Price Impact Modeling
Spatial Data Science: With Applications in R
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions
Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics (Chapman & Hall/CRC Healthcare Informatics Series)
Computational Intelligence in Image and Video Processing
Practitioner’s Guide to Data Science
Artificial Intelligence: With an Introduction to Machine Learning, Second Edition (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
A Course in Large Sample Theory: 38 (Chapman & Hall Texts in Statistical Science Series)
Real World AI Ethics for Data Scientists: Practical Case Studies
Unmatched: 50 Years of Supercomputing
Introduction to NFL Analytics with R
Theory of Spatial Statistics: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science)
Quantitative Operational Risk Models
The Ancient Britons, a Tale of Primeval Life
Sample Size Calculations in Clinical Research (Chapman & Hall/CRC Biostatistics Series)
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