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Found inside – Page 1By identifying key issues as they unfold, and by providing a hybrid model of open-access publication, these volumes and the Debates in the Digital Humanities series will articulate the present contours of the field and help forge its future ... Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and ... You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book includes 189 programming interview questions and answers, as well as other advice. Found insideThis book is your entry point to machine learning. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Found insideThis is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"-- In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization ... Found inside – Page 1To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. This book contains concrete experiences and examples from Africa, Asia, the Americas and Europe to illustrate the theoretical analyses.The authors provide answers to some of the key questions on how to measure vulnerability and they draw ... Found insideWith 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 insideAfter introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. Diversity, inclusion, and equal opportunity are three terms that are often used interchangeably; however, there are some differences in how they are interpreted and applied between the Department of Defense (DOD) and civilian organizations. This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. Found insideThis volume seeks to analyse the emerging wave of data journalism in the Global South. It does so by examining trends, developments and opportunities for data journalism in the aforementioned contexts. Found insideThis book constitutes the refereed proceedings of the Second International Conference, SLAAI-ICAI 2018, held in Moratuwa, Sri Lanka, in December 2018. This book constitutes the refereed proceedings of the 4th International Symposium on Languages, Applications and Technologies, SLATE 2015, held in Madrid, Spain, in June 2015. A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics. Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Master the signature sounds of iconic guitarists. Found inside – Page 1You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory ... Found inside – Page iMany of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. That's the beauty of flash cards. But technology offers an even better way to make information stick. With my book you get almost a thousand interactive exercises--they're free online--that embed the whole book in your memory. The solution is to become a rich employee with the mindset and techniques described in this book. This is the first book ever to detail how one can become a The Rich Employee in our times. Found insideThe second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand. Found insideAbout this Book HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. Found insideThis is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. Found inside – Page 1In Learn Python 3 the Hard Way, Zed Shaw taught you the basics of Programming with Python 3. Now, in Learn More Python 3 the Hard Way, you’ll go far beyond the basics by working through 52 brilliantly crafted projects. Presents case studies and instructions on how to solve data analysis problems using Python. Found insideIn this book, we’ll teach you how to recognize and apply various C++ design patterns and idioms. By the end of the book, you’ll have an understanding of how to use design patterns to create robust and reusable apps And running quickly exposure to another programming language is helpful but not required how operate. Interactive exercises -- they 're free online -- that embed the whole book in your memory as well other. 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