Oxford IB Diploma Programme: Standard Level Mathematics Analysis and Approaches Course Book Pack (Print & Enhanced Online)

Oxford IB Diploma Programme: Standard Level Mathematics Analysis and Approaches Course Book Pack (Print & Enhanced Online)

Comprehensive guide for IB Math SL Analysis & Approaches, combining print and enhanced online resources to master concepts, practice problems, and exam strategies for the Oxford IB Diploma Programme.
Effective Computation in Physics: Field Guide to Research with Python by Anthony Scopatz, O'Reilly Media, Inc

Effective Computation in Physics: Field Guide to Research with Python by Anthony Scopatz, O'Reilly Media, Inc

Learn to use Python for research in physics with this practical guide, covering best practices and tools for effective computation and data analysis in the field.
Pattern Recognition and Machine Learning by Christopher M. Bishop

Pattern Recognition and Machine Learning by Christopher M. Bishop

A comprehensive guide that blends statistical theory with practical algorithms, covering Bayesian inference, neural networks, and support vector machines to master pattern recognition and machine learning.
Jacob Fish A First Course in Finite Elements, John Wiley & Sons, Inc., Paperback

Jacob Fish A First Course in Finite Elements, John Wiley & Sons, Inc., Paperback

A concise introduction to finite element analysis, this book guides readers through theory and practical implementation with clear explanations, step‑by‑step examples, and real‑world applications in engineering.
Medical Statistics by Stephen J. Walters, published by John Wiley & Sons, Inc

Medical Statistics by Stephen J. Walters, published by John Wiley & Sons, Inc

Learn medical statistics with confidence! This 5th edition textbook provides a comprehensive guide for health sciences students and professionals, covering key concepts and applications in an accessible way.
Ifan Hughes Measurements and their Uncertainties

Ifan Hughes Measurements and their Uncertainties

A practical guide to understanding measurements, errors, and uncertainties in various fields, helping you navigate data analysis with confidence.
Elementary Probability by David Stirzaker, Cambridge University Press

Elementary Probability by David Stirzaker, Cambridge University Press

Explore the fundamentals of probability with this clear, engaging guide. Ideal for students and self‑learners, it covers key concepts, real‑world examples, and practical problems to build strong analytical skills.
An Introduction To Categorical Data Analysis (Hardback) by John Wiley & Sons, Inc

An Introduction To Categorical Data Analysis (Hardback) by John Wiley & Sons, Inc

Explore categorical data analysis through clear theory, practical examples, and statistical software guidance, making complex concepts accessible for students and researchers alike.
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

A comprehensive guide that demystifies linear, logistic, survival and repeated measures models for biostatistics, blending theory with practical examples to empower researchers in biology and health.
Matrix Analysis by Roger A. Horn and Charles R. Johnson

Matrix Analysis by Roger A. Horn and Charles R. Johnson

A concise yet thorough exploration of matrix theory, this book covers linear transformations, eigenvalue problems, and canonical forms while integrating modern topics such as tensor decompositions and optimization techniques.
Markov Chains by J. R. Norris, Cambridge University Press

Markov Chains by J. R. Norris, Cambridge University Press

Explore Markov chains through rigorous theory and practical examples, covering transition matrices, ergodicity, stationary distributions, coupling methods, and applications in stochastic processes and statistical physics.
Elementary Number Theory by Gareth A. Jones, published by Springer-Verlag New York

Elementary Number Theory by Gareth A. Jones, published by Springer-Verlag New York

Discover the fundamentals of number theory with Gareth A. Jones’s clear, engaging text—perfect for undergraduates and self‑learners seeking a solid introduction to prime numbers, Diophantine equations, and modular arithmetic.
Murray Spiegel Schaum's Outline of College Algebra, Fifth Edition

Murray Spiegel Schaum's Outline of College Algebra, Fifth Edition

Master college algebra with clarity and confidence: concise explanations, worked examples, practice problems, and key concepts—all in one compact guide to boost understanding and exam performance.
Allen Hatcher Algebraic Topology - Cambridge University Press Algebraic Topology

Allen Hatcher Algebraic Topology - Cambridge University Press Algebraic Topology

A foundational text on algebraic topology, Allen Hatcher’s book offers clear exposition of homotopy, homology, and cohomology theories, with illustrative examples and proofs for graduate students and researchers alike.
Statistical Computing in C++ and R

Statistical Computing in C++ and R

Explore advanced statistical methods through practical code examples in both C++ and R, learning how to integrate high-performance computing with flexible data analysis for real-world research challenges.
DeMark Indicators

DeMark Indicators

Bloomberg Press (9781576603147)
Numerical Analysis

Numerical Analysis

Brooks Cole (9781305253667)
Predictable Prospecting: How to Radically Increase Your B2B Sales Pipeline

Predictable Prospecting: How to Radically Increase Your B2B Sales Pipeline

McGraw-Hill Education (9781259835643) | Predictable Prospecting
Algebra II For Dummies, 2nd Edition

Algebra II For Dummies, 2nd Edition

For Dummies (9781119543145)
Algebra I For Dummies, 2nd Edition

Algebra I For Dummies, 2nd Edition

For Dummies (9781119293576)
Complex Adaptive Systems: An Introduction to Computational Models of Social Life

Complex Adaptive Systems: An Introduction to Computational Models of Social Life

Dive into "Complex Adaptive Systems," where John H. Miller explores computational models that illuminate the intricacies of social life, offering insights into how complexity shapes societal interactions.