Rust in Action is a hands-on guide to systems programming with Rust. Written for inquisitive programmers, it presents real-world use cases that go far beyond syntax and structure. Summary...
101 Super Simple Science Experiments contains 101 one-page experiments that each focus on one aspect of scientific investigation. Doing science requires the development of different...
" Thinking in Java should be read cover to cover by every Java programmer, then kept close at hand for frequent reference. The exercises are challenging, and the chapter on Collections...
Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ A modern,...
Becoming someone is a learning process; and what we learn is the new values around which, if we succeed, our lives will come to turn. Agents transform themselves in the process of,...
A spectacular visual journey through 40 years of haute couture from one of the best-known and most trend-setting brands in fashion Founded in 1962 by Yves Saint Laurent and his partner,...
This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors...
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a...
Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a...
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. "Written...
Strategic Marketing Management: The Framework delineates the fundamentals of marketing strategy, offers a systematic approach to marketing management, and presents a value-based framework...
This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized...
An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential...
Prolonged Exposure Therapy is an effective, highly flexible, and very well researched intervention to reduce the symptoms of PTSD across a variety of traumatized populations. The second...
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability...
Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along...
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