Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Guest Editors Jeffrey Bruce and Andrew Parsa explore Pinneal Region Tumors in this issue of Neurosurgery Clinics.? Topics concentrate on areas such as pathology, radiographic features, open surgical approaches, endoscopic surgical approaches, clinical outcomes after treatment of pineocytoma, clinical outcomes after treatment of pineoblastoma, clinical outcomes after treatment of germ cell tumors, pineal cysts: radiographic criteria and clinical management, ? opthamologic signs and symptoms associated with pineal region tumors, history of pineal region tumor surgery and management, and radiation treatment algorithms

Conceived in 1976 and published in 1980, LEGEND exemplifies the political and linguistic commitments of then-nascent Language writing. Coauthored by Bruce Andrews, Charles Bernstein, Ray DiPalma, Steve McCaffery, and Ron Silliman, the work was composed on typewriters and developed through the mail. The twenty-six poems of the volume bring together every possible permutation of collaborative authorship in one-, two-, three-, and five-author combinations, revealing the evolution of distinctive styles against and in conversation with others. Along with a complete reproduction of the original text, LEGEND: The Complete Facsimile in Context includes a critical introduction by editors Matthew Hofer and Michael Golston, a generous selection of material from the authors' correspondence, and a new collaborative piece by the authors. This book will be an essential resource to students and scholars in twentieth-century poetry and poetics.

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

In this selection of shorter lyric poems, celebrated Language poet Bruce Andrews offers his charismatic blend of satire, wit and jouissance, creating a dizzying picture of modern America. In these poems Andrews explores a more intimate and domestic register, further reminding us of the astonishing range of this contemporary master.