Presents case studies and instructions on how to solve data analysis problems using Python. Found insidePractitioners in these and related fields will find this book perfect for self-study as well. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Found insideThe book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar. In addition, the book presents: • A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools • Illustrations of how to use the outlined concepts in real-world situations • Readily ... Found insideThe papers contained in this volume were presented at ICDT’99, the 7th - ternationalConferenceonDatabaseTheory,inJerusalem,Israel,January10–12, 1999. ICDT is an international forum for research on the principles of database systems. Found inside – Page 403Syllabus for ENR-100 course on “Environmental and Resource Science for Policy. ... 6716C/$FILE/enr100_syllabus_2006_9-12-06v3.pdf Human Development Report ... Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. Found insideCovers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks. Found inside – Page 468... 2014, https://cdn1.vox-cdn.com/assets/4422119/letter_to _FCC.pdf. ... there is INFO 4270: Ethics and Policy in Data Science; see the course syllabus at ... Found inside – Page iiiThis is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. Found insideIn The New Science of Cities, Michael Batty suggests that to understand cities we must view them not simply as places in space but as systems of networks and flows. Found insideThe growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Found inside – Page 22Only courses for Czech students in the full-time study program, ... FAQ, syllabus, plan of lectures/seminars, course contents Rich text, PDF HTML, ... With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... Found inside – Page 103Table 1 URLs of 30 courses from which curricular information was collected for this ... https://www.sg.ethz.ch/media/medialibrary/2014/11/syllabus-cn15.pdf ... Found insideThis beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems. This guide also helps you understand the many data-mining techniques in use today. Found insideThis third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models ... The Book has been written completely as per AICTE recommended syllabus on "Data Sciences". SALIENT FEATURES OF THE BOOK: Explains how data is collected, managed and stored for data science. "Designed to teach people to program even if they have no prior experience. Found insideIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. Mathematics of Computing -- General. Found insideIllustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Sweepingly ambitious in scope, this is a deeply informed and balanced assessment of the many strengths as well as the weaknesses of American higher education today. There are three reasons for this shortfall. First, the volume of data is increasing much faster than the corresponding rise of our computational processing power (Kryder’s law > Moore’s law). "Teaches simple, fundamental, and practical techniques that anyone can use to make sense of numbers." - cover. Found insideData Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. "This book is about the fundamentals of R programming. This tutorial introduces the reader informally to the basic concepts and features of the python language and system. Found inside – Page 37DATA SCIENCE EDUCATION 37 educational backgrounds or majors, and there are no ... The course is cross-listed in the Department of Computer Science, ... Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann ... In terms of classical algebraic structures, the text divides roughly into three parts: To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. Found insideAn introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines. Found insideIn this volume, you'll find a collection of low floor, high ceiling tasks that will help you do just that, by looking at the big ideas at the first-grade level through visualization, play, and investigation. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. Found insideStyle and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. Found insideFundamentals of Computing and Programming in C is specifically designed for first year engineering students covering the syllabus of various universities. Presents an introduction to the new programming language for the Java Platform. This book is intended for such a course. 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