Peter Bruce

Andrew Bruce

Peter Gedeck

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide--now including examples in Python as well as R--explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning

50+ Essential Concepts Using R and Python

Practical Statistics for Data Scientists

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

50 Essential Concepts

Nobuyuki Imanishi

Alan C. Luntz

Lithium air rechargeable batteries are the best candidate for a power source for electric vehicles, because of their high specific energy density. In this book, the history, scientific background, status and prospects of the lithium air system are introduced by specialists in the field. This book will contain the basics, current statuses, and prospects for new technologies. This book is ideal for those interested in electrochemistry, energy storage, and materials science.

Fundamentals

The Lithium Air Battery

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

Inshore Along the Dorset Coast

Heavy Weather Sailinghas longreigned as the ultimate international authority on surviving storms atsea aboard sailing and motor vessels. The book brings together a wealthof expert advice from many of the great sailors of the present,including fresh accounts of yachts overtaken by extreme weather, fromEwan Southby Tailyour, Alex Whitworth, Peter Cook, and Larry and LinPardey. Techniques for coping with heavy seas are explored, and newchapters have been added, giving advice on the use of storm sails,taking shelter in heavy weather, handling multihulls in storms and oneon handling RIBs in high seas. Seasickness remedies are proposed, and adetailed analysis is given of the meteorological conditions leading upto a storm. This is the definitive book for crews of any sizecontemplating voyages out of sight of land anywhere in the world,whether racing or cruising. It gives a clear message regarding thepreparations required, and the tactics to consider when it comes on toblow. 'If you buy no other book for your voyage, buy this one'Pete Goss (renowned yachtsman and rescuer of Raphael Dinelli during the 1996/97 Vendee Globe) 'This book is an institution'Practical Boat Owner 'The ultimate survival handbook' Yachting World

Heavy Weather Sailing

For 50 years Heavy Weather Sailing has been regarded as the ultimate international authority on surviving storms at sea aboard sailing and motor vessels. The first edition was compiled by Kaines Adlard Coles himself in 1967. Since then technology may have improved, but the weather certainly hasn't. This is the seventh updated edition, edited by racing yachtsman Peter Bruce, ensuring that in its 50th year the book remains as relevant and as essential as it has been for the previous five decades. The book brings together a wealth of expert advice from many of the great sailors of the present, including fresh accounts of yachts overtaken by extreme weather, from Ewan Southby-Tailyour, Alex Whitworth and Peter Cook to Larry and Lin Pardey. It also includes a new Foreword by Sir Robin Knox-Johnston, Britain's most high profile yachtsman of the past 50 years. The expert advice section has been updated in line with current thinking, and there has been a major update to the chapter focusing on the use of storm sails as well as to the use of drag devices. The technique of taking refuge has been reviewed and updated, and the chapters dealing with preparations for heavy weather and its effect on yacht design have been overhauled. These revisions ensure that Heavy Weather Sailing is as relevant, useful and instructive for today's sailor venturing offshore as it ever was – perhaps more so in the light of tragic disasters like the loss of the Cheeky Raffiki mid-Atlantic on a delivery trip after her season racing in the Caribbean. This is the definitive book for crews of any size contemplating voyages out of sight of land anywhere in the world, whether racing or cruising. It gives a clear message regarding the preparations required, and the tactics to consider when it comes on to blow.

Peter Bruce

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