Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data explorationStatistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and ...

Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrapA uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally ...

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.

Explore the most serious prevalent ethical issues in data science with this insightful new resourceThe increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulatin...

Written by a range of international industry practitioners, this book offers a comprehensive overview of the essence and nature of airline operations in terms of an operational and regulatory framework, the myriad of planning activities leading up to the current day, and the nature of intense activity that typifies both normal and disrupted airline operations.The first part outlines the importance of the regulatory framework underpinning airline operations, exploring how airlines s...

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textbook covers both statistical and machine learning (AI) algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, network analytics and generative AI. Along with hands-on exercises and real-...

MACHINE LEARNING FOR BUSINESS ANALYTICSMachine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth editio...

Machine Learning for Business AnalyticsMachine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook ...

MACHINE LEARNING FOR BUSINESS ANALYTICSMachine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers...

MACHINE LEARNING FOR BUSINESS ANALYTICSAn up-to-date introduction to a market-leading platform for data analysis and machine learningMachine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing users’ understanding of their data and their...

These exciting new companion handbooks are the only ones of their kind devoted solely to the effects of environmental variables on the physiology of the world's major fruit and nut crops. Their cosmopolitan scope includes chapters on tropical and temperate zone species written by scientists from several continents. The influence of environmental factors, such as irradiance, temperature, water and salinity on plant physiology and on vegetative and reproductive growth, is comprehensively dis...

A Broken Flute: The Native Experience in Books for Children is a companion to its predecessor published by Oyate, Through Indian Eyes: The Native Experience in Books for Children. A compilation of work by Native parents, children, educators, poets and writers, A Broken Flute contains, from a Native perspective, "living stories," essays, poetry, and hundreds of reviews of "children's books about Indians." It's an indispensable volume for anyone interested in prese...