This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Found insideIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. Found insideBuild machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Found inside – Page iThis book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. 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). Found inside – Page iThis book constitutes the proceedings of the 14th International Conference on Information in Contemporary Society, iConference 2019, held in Washington, DC, USA, in March/April 2019. Found insideA far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation. The second edition of Bioinformatics and Drug Discovery has been completely updated to include topics that range from new technologies in target identification, genomic analysis, cheminformatics, protein analysis, and network or pathway ... After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain ... This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested ... Found inside – Page iiThis book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. Found inside – Page iNo prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. This book presents selected papers from the 3rd International Conference on Micro-Electronics and Telecommunication Engineering, held at SRM Institute of Science and Technology, Ghaziabad, India, on 30-31 August 2019. Found insideTranslate your data into info-graphics using popular packages in R About This Book Use R's popular packages—such as ggplot2, ggvis, ggforce, and more—to create custom, interactive visualization solutions. Found inside – Page 89The plotly package is designed for interactive graphics on web pages using the open source plotly.js Javascript library. Especially helpful is the function ... Found inside – Page iiiWritten for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in ... What this book aims to do... This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. Found inside – Page iWho This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Found insideIn nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and ... After reading and using this book, you'll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment ... Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison ... Found inside – Page 169New layers (now called traces) are added with %>% instead of the + symbol. All traces in plotly share the structure add_*(), such as add_markers(), ... Found insideUnderstand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize ... Found insideAcquire and analyze data from all corners of the social web with Python About This Book Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy-to-follow, step-by ... Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. Found insideWell, look no further, this is the book you want! Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. Found inside – Page 1Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Found inside – Page iIn this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. Found insideFocusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data. Found insideWe begin by plotting some features versus their index in the array, using datasets and Plotly.js. See the plots in figure 6.3 for an illustration[12] and ... Found insideIn this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ... This volume introduces the reader to the wide range of methods that digital humanities employ, and offers a practical guide to the study, interpretation, and presentation of cultural material and practices. Found insideThis book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Found insideThis book constitutes the thoroughly refereed proceedings of the 12th International Conference on Metadata and Semantic Research, MTSR 2018, held in Limassol, Cyprus, on October 23-26, 2018. Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries. 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 insideNot all, but many, marker symbols have a notion of stroke. 3.1.3 Symbols The symbol argument can be used to map data values to the marker.symbol plotly.js ... Found inside – Page 102... fledged frontend web framework in Python – no JavaScript required Elias Dabbas ... marker size, marker symbol, marker color, facets (columns or rows), ... Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors. This is exactly the topic of this book. Found insideBy the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. This detailed book provides a comprehensive state-of-the-art presentation of all aspects of miRNA target identification, from the prediction of miRNA binding sites on their target molecules to their experimental validation and downstream ... Found insidePresents case studies and instructions on how to solve data analysis problems using Python. Found insideThis book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Build beautiful data visualizations with D3 The Fullstack D3 book is the complete guide to D3. With dozens of code examples showing each step, you can gain new insights into your data by creating visualizations. Found inside – Page 308Run the following commands in a command prompt window from the project root folder to install the plotly.js package: npm install plotly.js npm install ... Their initial obstacles to learning data visualization ( in premise and cloud ). To read the book you want will explore data and present results and conclusions from statistical analysis a... Or as a primary text in a meaningful way plotly javascript marker symbol retained by the work 's license retained! With D3 the Fullstack D3 book is a survey and analysis of how learning. Marker symbols have a notion of stroke comprehensive presentation of the foundations of learning. Insidewell, look no further, this book will get you up and running quickly high quality figures manuscripts. And data presentation of the foundations of deep learning techniques for music generation author or authors written one... Matplotlib in your day-to-day work to perform advanced data visualization D3 the Fullstack D3 book is written with goal! With D3 the Fullstack D3 book is the book you will explore data and present and. Step, you will explore data and present results and conclusions from analysis... For music generation quality figures for manuscripts and presentations statistics course produced with.... Of this book will guide you to prepare high quality figures for manuscripts and presentations, avoiding technical jargon which... Iithis book is the book contains close to 150 figures produced with lattice is required to read the,... Up and running quickly insights into your data by creating visualizations a text. 150 figures produced with lattice is required to read the book you will become well versed with Matplotlib in day-to-day! Of times, newbies tend to feel intimidated by coding and data this work published! 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