Найти книгу: "The Data Science Handbook"

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.

Other enhancements and options that have been added and that you can find in this book are related to subjects such as the following: Availability is increased, and there are now further options for distributing the system, along with new powerful platforms. ? There is a new change and transport system, including all the facilities of the Transport Management System (TMS). ? In the ABAP workbench, there are a host of new utilities, a stepforward object?oriented ABAP, the replacement of matchcodes with search helps, and more. ? Windows NT is now a very popular platform with thousands of customers. For this reason, this new edition is operating system independent, dealing with both UNIX and Windows NT where appropriate. ? ? The authorization system and administrator duties have been facilitated with the profile generator. ? Since release 4.0 there is a new object?based monitoring architecture and alert monitors. ? The well?known OSS has now become SAPnet, with two variants: R/3 front end and Web front end. In this edition you will find lots of new things to discover and enjoy. I hope you enjoy this book and enjoySAP.

Oxford Handbook of Commercial Correspondence - это справочник по всем аспектам деловой переписки на английском языке. Справочник неоднократно переиздавался. Существует также сборник упражнений по деловому письму, который можно приобрести отдельно. Его название - Oxford Correspondence Workbook.

В результате развития науки и технологий во всем мире стала необходимой «интеллектуализация» многих специальностей высшего и среднего профессионального образования (ВПО и СПО), изменились требования, предъявляемые к специалистам. Возникают типичные ситуации, когда работодатель с удовольствием возьмет математика-программиста по специальности «Математическое обеспечение и администрирование информационных систем», но крепко подумает, стоит ли брать техника по специальности «Программное обеспечение вычислительной техники и автоматизированных систем». Дело в том, что техники-программисты и сейчас нужны. Но без понятия компетенции и разработки новых стандартов, в том числе и СПО, трудно определить место специальностей СПО и их взаимодействие с соответствующими направлениями (специальностями) ВПО.