Nejnižší cena za posledních 45 dní: 1 039 Kč
Ceny a dostupnost se mohou měnit i několikrát za den. Zkontrolujte si aktuální údaje přímo v e-shopech. Všechny dostupné barvy a velikosti naleznete přímo v e-shopech.
Produkt Think Bayes: Bayesian Statistics in Python (Downey Allen B.)(Paperback) má přiřazen EAN kód 9781492089469.
Kategorie | Knihy |
EAN | 9781492089469 |
Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of
Think Java is a hands-on introduction to computer science and programming used by many universities and high schools around the world. Its conciseness, emphasis on vocabulary, and informal tone make it particularly appealing for readers with little or no experience. The book starts with the most
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This
Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making
Think you can't have fun learning statistics? Think again. The Manga Guide to Statistics will teach you everything you need to know about this essential discipline, while entertaining you at the same time. With its unique combination of Japanese-style comics called manga and serious educational
Bayesian Econometrics introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied
Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for senior undergraduates
Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws
The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal
Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the
Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to the statistics concepts and techniques relevant to their specific field of study. Drawing from examples across kinesiology, including exercise
A practical introduction to statistics in corpus linguistics that enables readers to understand key principles of statistical thinking and apply these concepts in their own research. It is intended for anyone interested in quantitative analysis of language and data
Understanding Statistics meets the requirements of A Level Statistics, both as a subject in its own right and as a part of Mathematics. The authors are both experienced teachers and examiners and present statistical ideas in an enjoyable fashion using a lively commentary and interesting
The complete beginner's guide to Python, for young people who want to start today Adventures in Python is designed for 11-to 15-year olds who want to teach themselves Python programming, but don't know where to start. Even if you have no programming experience at all, this easy to follow format and
'Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.' --Daniel Kenney-Jung, MD, University of Minnesota Key Features - Master formal techniques taught in college computer science classes - Connect computer science theory to
CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as 'Does this treatment harm or help patients?' But though hundreds of introductory texts are
Originally published in 1935, this book presents a collection of poems in Latin written by Allen Beville Ramsay, Master of Magdalene College, Cambridge from 1925 to 1947. This book will be of value to anyone with an interest in Latin poetry and the works of
The seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of
Make the Leap From Beginner to Intermediate in Python...Python Basics: A Practical Introduction to Python 3Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample ProjectsWhat should you learn about Python in the beginning to get a strong foundation? With Python Basics,
This book is a straightforward guide to the Python programming language and programming techniques. It covers all of the practical programming skills that may be required up to GCSE level and for those at AS Level with limited exposure to Python. It is suitable for both experienced programmers,