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Graph theory : an introduction to proofs, algorithms, and applications
Algebra & geometry : an introduction to university mathematics
Introduction to IoT with machine learning and image processing using Raspberry Pi
Exercises in programming style
Advanced survival models
Martingale methods in statistics
AI for cars
The Sharpe ratio : statistics and applications
Using R and RStudio for data management, statistical analysis, and graphics
Advanced R solutions
Deep learning : a comprehensive guide
Philosophy of mathematics : classic and contemporary studies
Portfolio optimization
Linear mixed models : a practical guide using statistical software
Backseat driver : the role of data in great car safety debates
Galois theory
Time series for data science : analysis and forecasting
Artificial intelligence and causal inference
Numerical methods for unsteady compressible flow problems
Soft computing techniques for type-2 diabetes data classification
An invitation to the Rogers-Ramanujan identities
Statistical methods for handling incomplete data
Infinite groups : a roadmap to selected classical areas
Surrogates : Gaussian process modeling, design, and optimization for the applied sciences
Measure theory and integration
Supervised machine learning for text analysis in R
Resource proportional software design for emerging systems
Statistical theory : a concise introduction
ANOVA and mixed models : a short introduction using R
AI for cars
Massive graph analytics
Urban informatics : using big data to understand and serve communities
Machine learning for factor investing : R version
Mathematica beyond mathematics : the Wolfram language in the real world
Handbook of graphs and networks in people analytics : with examples in R and Python
Python for beginners
Spatial data science : with applications in R
Using R for Bayesian spatial and spatio-temporal health modeling
GPU parallel program development using CUDA
Optimal reference shaping for dynamical systems : theory and applications
Hands-on data science for librarians
Spatio-temporal methods in environmental epidemiology with R
Your essential guide to quantitative hedge fund investing
Lie algebraic methods in integrable systems
Cyber crime in social media : theory and solutions
Functional analysis and topology
Nonlinear dynamics and chaos : with applications to physics, biology, chemistry, and engineering
Fractional integral transforms : theory and applications
Digital health : a primer
Graphs & digraphs
Multilevel modeling using R
An introduction to astronomy and astrophysics
Practical machine learning with R : tutorials and case studies
Extending structures : fundamentals and applications
Intelligent copyright protection for images
The art of coding : the language of drawing, graphics, and animation
Elastic waves : high frequency theory
An invitation to algebraic numbers and algebraic functions
50 years of combinatorics, graph theory, and computing
Dynamic treatment regimes : statistical methods for precision medicine
Special functions and analysis of differential equations
Supervised machine learning : optimization framework and applications with SAS and R
The end of error : unum computing
Evaluating climate change impacts
Algorithmic trading and quantitative strategies
Statistical rethinking : a Bayesian course with examples in R and Stan
Reinforcement learning for cyber-physical systems : with cybersecurity case studies
Structural equation modelling with partial least squares using stata and R
Beyond multiple linear regression : applied generalized linear models and multilevel models in R
Time series : a first course with bootstrap starter
Secret history : the story of cryptology
Probability, choice, and reason
Linear algebra to differential equations
Population genomics with R
Time series : modeling, computation, and inference
Object oriented data analysis
Philosophy of mathematics : classic and contemporary studies
Handbook of statistical methods for randomized controlled trials
Artificial intelligence : technologies, applications, and challenges
Patterned random matrices
Handbook of statistical methods and analyses in sports
A tour of data science : learn R and Python in parallel
Probability, statistics, and data : a fresh approach using R
Diffusion processes, jump processes, and stochastic differential equations
Engineering fundamentals
Mathematical concepts
Analysis on manifolds
Partial differential equations : topics in Fourier analysis
Galois theory
AI by design : a plan for living with artificial intelligence
A guide to business mathematics
Understanding regression analysis : a conditional distribution approach
Bayesian inference with INLA
Data structures using C : a practical approach for beginners
Integrals related to the error function
Bayesian analysis of infectious diseases : COVID-19 and beyond
The energy of data and distance correlation
Numerical analysis and scientific computation
Flexible regression and smoothing : using GAMLSS in R
Introduction to computational engineering with MATLAB
Introduction to stochastic finance with market examples
Topics in graph theory
Analyzing US census data : methods, maps, and models in R
Bayesian nonparametrics for causal inference and missing data
Statistical inference via data science : a ModernDive into R and the tidyverse
Beyond first order model theory
An introduction to R and Python for data analysis : a side-by-side approach
Direct and projective limits of geometric Banach structures
Generalized notions of continued fractions : ergodicity and number theoretic applications
Tidy finance with R
R companion for sampling : design and analysis
Models for multi-state survival data : rates, risks, and pseudo-values
Big data analytics : a guide to data science practitioners making the transition to big data
Spatial statistics for data science : theory and practice with R
Machine learning toolbox for social scientists : applied predictive analytics with R
Applied categorical and count data analysis
Computer graphics through OpenGL : from theory to experiments
Data science and machine learning for non-programmers : using SAS Enterprise miner
Post-shrinkage strategies in statistical and machine learning for high dimensional data
Modern data visualization with R
Deep learning : a beginners' guide
From concepts to code : introduction to data science
Introduction to fluid dynamics in physics and astrophysics
A concise introduction to robot programming with ROS2
Clustering spatial data
Intuitive axiomatic set theory
Introducing game theory and its applications
Analyzing baseball data with R
Handbook of statistical methods for randomized controlled trials
Analysis of pretest-posttest designs
Statistical analysis of financial data : with examples in R
Reproducible research with R and RStudio
Information technology : an introduction for today's digital world
Exploring linear algebra : labs and projects with MATLAB
Introduction to time series modeling with applications in R
Morrey spaces : introduction and applications to integral operators and PDE's
Understanding elections through statistics : polling, prediction, and testing
Statistical foundation of data science
Game theory : a modeling approach
Measurement models for psychological attributes
Bayesian applications in pharmaceutical development
Learning microeconometrics with R
Analyzing spatial models of choice and judgment
Towards smart world : homes to cities using Internet of things
Information technology : an introduction for today's digital world
Understanding artificial intelligence
Mathematical modeling : branching beyond calculus
Proofs 101 : an introduction to formal mathematics
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