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Title consistently uses the evidence-based approach Evidence-based tables make documentation of care plan easy Interdisciplinary orientation – all aspects of patient care are covered Only book that involves experts from the entire range of cancer treatment in the fields of medical, surgical and radiation oncology Includes hot topics such as prevention and breast cancer Offers ground-breaking sections on the latest research and clinical applications in cancer survivorship Chapter on PET addresses imaging issues and how to get the best results Most comprehensive sections on the biology and epidemiology of cancer as compared to competitors
"The data presented in Alabama Notes, Volumes 3 and 4 derive primarily from county court records, specifically wills and deeds, as well as selected marriage books and are supplemented by cemetery records, census records, and numerous other records of miscellaneous origin. A sequel to Mrs. England's Alabama Notes, Volumes 1 and 2 (see Item 1680), the work at hand refers to thousands of ancestors whose records were culled from the counties of Autauga, Bibb, Butler, Clarke, Coffee, Conecuh, Dallas, Greene, Lowndes, Macon, Marengo, Monroe, Perry, Shelby, and Wilcox" -- publisher website (August 2007).
The classic reference work that provides annually updated information on the countries of the world.
Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book Resolve complex machine learning problems and explore deep learning Learn to use Python code for implementing a range of machine learning algorithms and techniques A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Apply your new found skills to solve real problems, through clearly-explained code for every technique and test Automate large sets of complex data and overcome time-consuming practical challenges Improve the accuracy of models and your existing input data using powerful feature engineering techniques Use multiple learning techniques together to improve the consistency of results Understand the hidden structure of datasets using a range of unsupervised techniques Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance.
Why do girls love pink toys, and boys love blue ones? The fi ne arts photographer Jeongmee Yoon (*1969, Seoul) poses this question in her work, The Pink and Blue Project, for which she began photographing Korean and American girls and boys in their rooms in 2005. The gender-specifi c color schemes quickly established themselves as an overarching phenomenon, independent of cultural or ethnic background. Yoon's impressive portraits, for which she spent hours carefully arranging pink or blue objects, question these color codes and the consumer habits of both parents and children. They reveal the connections linking gender identity and social norms, consumer culture, and media. She continued this project by visiting the children years later and capturing how their favorite colors had changed. Jeongmee Yoon was awarded the ILWOO Foundation Prize for her project.
Atlas at War! collects fifty hard-hitting stories from Atlas Comics, the company that became Marvel Comics and published more war titles than anyone in the industry between the years 1951 and 1960. Comics historian Dr. Michael J. Vassallo has chosen the best of the best, many of which are coming back into print for the first time, from sixteen different Atlas war titles and featuring the artwork of twenty different artists--giants of the genre, including Russ Heath, John Severin, Bernie Krigstein, Joe Maneely, Jerry Robinson, Steve Ditko, and Jack Kirby. Each page has been meticulously restored from its first printing by comic art restorer Allan Harvey. Atlas at War! covers the brutal pre-code period where graphic depictions of war action were rendered by artists who were World War II veterans themselves, as well as the post-code period, where code restrictions forced creators to tell stories without graphic violence but produced some of the most beautiful comic art of the genre. In addition to the artists, stories cover all aspects of war--from famous campaigns, weaponry, and personal soldier stories to political topics, Nazi atrocities, and even one story tinged with pre-code horror! Often overlooked in favor of its competitors, Atlas at War! will finally show that Atlas' war titles were second to no one.
The author, who is an award winning programme director in the radio industry has used this medium as a backdrop for this gripping novel. The story centres around Bobby Holiday, Vice president in charge of programming for a large radio company, whose body is found in s Los Angeles hotel room. Local police call the death a suicide. The FBI become involved and it transpires that he had been receiving cash payments in return for playing certain records, was deep in debt, a gambler and a habitual user of drugs.