Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    Chapters#58; Alamat Ng Gubat, Macarthur, Abnkkbsnplako?!, Kapitan Sino, Bakit Baligtad Magbasa Ng Libro Ang Mga Pilipino?. Source#58; Wikipedia. Free updates online. Not illustrated. Excerpt#58; The Alamat ng Gubat (Legend of the Forest) is a 2004 novel which was the fourth book published by Bob Ong, a Filipino contemporary author noted for using conversational Filipino to create humorous and reflective depictions of life as a Filipino. Among Bob Ong's works, it is notable for being the first one to be a self-contained straightforward narrative rather than a collection of anecdotes. Bob Ong later came up with another book written as a straightforward narrative, MacArthur, but it is a very different work because it does not have Bob Ong's signature humorous tone. The story is about a little crab named "Tong" searching for a banana heart to cure his father from sickness. While he begins his journey he finds he and his friends also fight the evil animals in the forest. Alamat ng Gubat is notable for it's allegorical references to Philippine society. Tong is a small crab who is looking for a banana heart in the forest to cure his sickly father. He is the son of the king of the sea, along with his siblings who are not assigned to the quest. He is engaged to a fish named Dalagang bukid. Tong is pinkish red and is the youngest in the pack of their crab family. Tong also has a brother called Katang who planned to take revenge on him at the middle of the story, Katang did not succeed to take revenge on him because Katang got killed by Leon who stabbed him with a bamboo stick. Pagong is a tortoise who is helping Tong in his adventure. He amazes Tong with his collection of turtle eggs. Pagong is an enormous tortoise that is very slow. He is also confused with his sayings and is said to be wisely stupid. Aso ...http#58;//booksllc.net/?l=en

    The language concepts are aptly explained in simple and easy-to-understand style, supported with examples, illustrations and programming and debugging exercises.

    J. Reynolds tobacco family, one of America's richest and most intensely private clans. R.J. was the original founder of the company that became part of RJR Nabisco, which in 1988 was involved in the largest business takeover in history. Spanning three generations, the Reynolds's story moves from the triumphs of founder and corporate genius R. J. to the dissipation, scandal, and tragedy that plagued his children and grandchildren. There is a redemptive close, with grandson Patrick Reynolds founding Smokefree America and becoming a leading anti-smoking advocate. The Gilded Leaf presents, for the first time, a complete account of the family who captured, spent and redeemed the American dream.

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

    But many managers can't read a balance sheet, wouldn't recognize a liquidity ratio, and don't know how to calculate return on investment. Worse, they don't have any idea where the numbers come from or how reliable they really are. In Financial Intelligence, Karen Berman and Joe Knight teach the basics of finance--but with a twist. Financial reporting, they argue, is as much art as science. Because nobody can quantify everything, accountants always rely on estimates, assumptions, and judgment calls. Savvy managers need to know how those sources of possible bias can affect the financials and that sometimes the numbers can be challenged. While providing the foundation for a deep understanding of the financial side of business, the book also arms managers with practical strategies for improving their companies' performance--strategies, such as "managing the balance sheet," that are well understood by financial professionals but rarely shared with their nonfinancial colleagues. Accessible, jargon-free, and filled with entertaining stories of real companies, Financial Intelligence gives nonfinancial managers the financial knowledge and confidence for their everyday work. Karen Berman and Joe Knight are the owners of the Los Angeles-based Business Literacy Institute and have trained tens of thousands of managers at many leading organizations. Co-author John Case has written several popular books on management.

    Not a product of the formal education system, Dhirubhai was known for his astute business acumen and entrepreneurial prowess. No wonder Dhirubhai's business philosophy was quite different from his contemporaries. This book is not about Dhirubhai's life, or how Dhirubhai went about building his business empire. Dhirubhaism is an attempt to capture those unique insights that Dhirubhai shared with the author in several interations during their long association. The 15 Dhirubhaisms put together bring out the work philosophy of Dhirubhai and give us a glimpse into the remarkable thinking process and practices of one of India's most successful entrepreneurs.