A selection from McCurry's finest photographs, featuring vivid scenes of everyday life around the world - now in paperback The Unguarded Moment showcases 75 photographs that define the work of renowned documentary photographer Steve McCurry. Each image collected here bears witness to a unique encounter, an `unguarded moment,' in which McCurry captures his subjects at their most...(展开全部)

Before Colleen Hoover's New York Times, Number one bestseller, It Ends with Us, it all started with Atlas. It Starts with Us tells fan favourite character Atlas' side of the story and shares what comes next in this highly anticipated sequel.

Prepare to die. His kingdom is near. Sixteen-year-old trans boy Benji is on the run from the cult that raised him—the fundamentalist sect that unleashed Armageddon and decimated the world’s population. Desperately, he searches for a place where the cult can’t get their hands on him, or more importantly, on the bioweapon they infected him with. But when cornered by monsters Pre...(展开全部)

Instant New York Times Bestseller Combining a captivating romance with a cast of all-too-human characters, Colleen Hoover's It Ends With Us is an unforgettable tale of love that comes at the ultimate price. Lily hasn't always had it easy, but that's never stopped her from working hard for the life she wants. She's come a long way from the small town in Maine where she grew up -...(展开全部)

內容簡介 作者簡介 目錄 Andrew Leeming 安德魯‧李明 荷蘭國際霸菱公司(ING Baring)常務董事也是亞洲地區(日本除外)銀行業研究單位主管，並擁有雪梨新南威爾斯大學榮譽商務碩士學位，著有《銀行股分析解密》(Bank Equity Analysis Demystified)由John Wily and Son's公司於2001年出版。

內容簡介 作者簡介 目錄 Andrew Leeming 安德魯‧李明 荷蘭國際霸菱公司(ING Baring)常務董事也是亞洲地區(日本除外)銀行業研究單位主管，並擁有雪梨新南威爾斯大學榮譽商務碩士學位，著有《銀行股分析解密》(Bank Equity Analysis Demystified)由John Wily and Son's公司於2001年出版。

Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

This book provides an introduction to the R system for users with a background in economics. It covers a variety of regression models (beginning with the classical linear regression model estimated by ordinary least quares,) regression diagnostics and robustness issues, the nonlinear models of microeconomics (Logit, Probit, Tobit, and further models), time series and time serie...(展开全部)