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The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering--data structures and algorithms--in a way that's clearer, more concise, and more
Statistical data and evidence-based claims are increasingly central to our everyday lives. Critically examining 'Big Data', this book charts the recent explosion in sources of data, including those precipitated by global developments and technological change. It sets out changes and controversies
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms
Designed for the introductory computing and computer science course, the student-friendly Computer Science Illuminated, Seventh Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing. Fully revised and updated, the Seventh
Written for the OCR GCSE Computer Science updated specification (J277) for first teaching from 2020. This print student book has been updated and reordered and uses an exciting and engaging approach to help students build their knowledge and master underlying computing principles and concepts
A new series of print and digital resources developed for the 2015 A/AS Level Computer Science
A new series of print and digital resources developed for the 2015 A/AS Level Computer Science
This series is fully endorsed by Cambridge International to support the full syllabus for examination from 2023. Develop algorithmic and computational thinking and programming skills with further practise questions and activities. This Workbook provides additional support with practical exam-style
Collins Cambridge IGCSE(R) Combined Science provides full coverage of all core and extended topics in the new syllabus in one book. Carefully developed features including Science in Context, questions, Science Links and more allowing students to build firm scientific knowledge, develop practical
A new series of bespoke, full-coverage resources developed for the 2016 AQA and OCR GCSE Computer Science qualifications. Written for the AQA GCSE Computer Science specification for first teaching from 2016, this print Student Book uses an exciting and engaging approach to help students build their
The important and comprehensive (New Yorker) guide to statistical thinkingThe age of big data has made statistical literacy more important than ever. In The Art of Statistics, David Spiegelhalter shows how to apply statistical reasoning to real-world problems. Whether we're analyzing preventative
A companion to Mendenhall and Sincich s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises
Help students to develop and apply problem solving and computational thinking skills in context with the practical, step-by-step approach of Complete Computer Science. This comprehensive text supports the latest Cambridge IGCSE (0478) & O Level (2210) syllabuses. Build strong achievement
Comprehensive coverage of matrix algebra for data science and statistical theory Over 100 pages of additional material and 30 extra exercises in the new edition Even clearer text and more comprehensive coverage
For introductory courses in computer science and engineering. Problem Solving and Program Designin C teaches introductory students to program with ANSI-C, a standardised, industrial-strength programming language known for its power and probability. The text uses widely accepted software
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study
For introductory courses in communication sciences and disorders A clear, comprehensive introduction to communication sciences and disorders, with an evidence-based, lifespan perspective. This text provides a thorough introduction to communication sciences and disorders designed for
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs. As the preliminary
This title is endorsed by Cambridge Assessment International Education to support the full syllabus for examination from 2023. Benefit from the knowledge of our renowned expert authors to navigate through the content of the updated Cambridge IGCSE(TM) and O Level Computer Science syllabuses