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Learn D3 Js

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Author : Helder da Rocha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-03

Learn D3 Js written by Helder da Rocha and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-03 with Computers categories.

Explore the power of D3.js 5 and its integration with web technologies for building rich and interactive data visualization solutions Key FeaturesExplore the latest D3.js 5 for creating charts, plots, and force-directed graphicsPractical guide for creating interactive graphics and data-driven apps with JavaScriptBuild Real-time visualization and transition on web using SVG with D3.jsBook Description This book is a practical hands-on introduction to D3 (Data-driven Documents): the most popular open-source JavaScript library for creating interactive web-based data visualizations. Based entirely on open web standards, D3 provides an integrated collection of tools for efficiently binding data to graphical elements. If you have basic knowledge of HTML, CSS and JavaScript you can use D3.js to create beautiful interactive web-based data visualizations. D3 is not a charting library. It doesn’t contain any pre-defined chart types, but can be used to create whatever visual representations of data you can imagine. The goal of this book is to introduce D3 and provide a learning path so that you obtain a solid understanding of its fundamental concepts, learn to use most of its modules and functions, and gain enough experience to create your own D3 visualizations. You will learn how to create bar, line, pie and scatter charts, trees, dendograms, treemaps, circle packs, chord/ribbon diagrams, sankey diagrams, animated network diagrams, and maps using different geographical projections. Fundamental concepts are explained in each chapter and then applied to a larger example in step-by-step tutorials, complete with full code, from hundreds of examples you can download and run. This book covers D3 version 5 and is based on ES2015 JavaScript. What you will learnLearn to use D3.js version 5 and web standards to create beautiful interactive data-driven visualizations for the webBind data to DOM elements, applying different scales, color schemes and configuring smooth animated transitions for data updatesGenerate data structures and layouts for many popular chart formats Apply interactive behaviors to any chartCreate thematic maps based on GIS data using different geographical projections with interactive behaviors Load, parse and transform data from JSON and CSV formatsWho this book is for The book is intended for web developers, web designers, data scientists, artists, and any developer who wish to create interactive data visualization for the Web using D3. The book assumes basic knowledge of HTML, CSs, and JavaScript.

Hands On Deep Learning With R

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Author : Michael Pawlus
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-24

Hands On Deep Learning With R written by Michael Pawlus and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-24 with Computers categories.

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key FeaturesUnderstand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problemImprove models using parameter tuning, feature engineering, and ensemblingApply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domainsBook Description Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming. This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems. By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms. What you will learnDesign a feedforward neural network to see how the activation function computes an outputCreate an image recognition model using convolutional neural networks (CNNs)Prepare data, decide hidden layers and neurons and train your model with the backpropagation algorithmApply text cleaning techniques to remove uninformative text using NLPBuild, train, and evaluate a GAN model for face generationUnderstand the concept and implementation of reinforcement learning in RWho this book is for This book is for data scientists, machine learning engineers, and deep learning developers who are familiar with machine learning and are looking to enhance their knowledge of deep learning using practical examples. Anyone interested in increasing the efficiency of their machine learning applications and exploring various options in R will also find this book useful. Basic knowledge of machine learning techniques and working knowledge of the R programming language is expected.

Artificial Intelligence Xlii

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Author : Max Bramer
language : en
Publisher: Springer Nature
Release Date : 2025-12-25

Artificial Intelligence Xlii written by Max Bramer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-25 with Computers categories.

This two-volume set, LNAI 16301 and LNAI 16302, constitutes the refereed proceedings of the 45th SGAI International Conference on Artificial Intelligence, AI 2025, held in Cambridge, UK, during December 16-18, 2025. The 47 full papers and 20 short papers presented in these two volumes were carefully reviewed and selected from 93 submissions. The papers are grouped into these topical sections: Part I: Technical Papers; Deep Learning; Large Language Models; Machine Learning; Neural Networks; Techniques of AI and Short Technical Papers. Part II: Application Papers; Evolutionary Algorithms; Machine Learning; Neural Networks; Medical Computing and Health Informatics; Large Language Models; Natural Language Processing and Machine Vision; Applications of Artificial Intelligence and Short Application Papers.

Information Modelling And Knowledge Bases Xii

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Author : Hannu Jaakkola
language : en
Publisher:
Release Date : 2001

Information Modelling And Knowledge Bases Xii written by Hannu Jaakkola and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

1995 Ieee International Conference On Neural Networks

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Author :
language : en
Publisher:
Release Date : 1995

1995 Ieee International Conference On Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Neural computers categories.

Ijcnn 93 Nagoya

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Author :
language : en
Publisher:
Release Date : 1993

Ijcnn 93 Nagoya written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Neural circuitry categories.

Structure Function Course Syllabus

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Author :
language : en
Publisher:
Release Date : 1997

Structure Function Course Syllabus written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Anatomy categories.

Proceedings Of The Fourth Israel Symposium On Theory Of Computing And Systems

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Author :
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1996

Proceedings Of The Fourth Israel Symposium On Theory Of Computing And Systems written by and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.

This volume contains a selection of 29 papers presented at the Fourth Israeli Symposium on the theory of Computing and Systems held in Jerusalem in June of 1996. Topics include the Borowsky-Gafni simulation algorithm; arrangements of curves and surfaces in computational geometry; advances in optical

Mechanical Automation And Materials Engineering

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Author : Daniel Chen
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2013-08-16

Mechanical Automation And Materials Engineering written by Daniel Chen and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-16 with Technology & Engineering categories.

Selected, peer reviewed papers from the 2nd International Conference on Mechanical Automation and Materials Engineering (ICMAME 2013), August 9-11, 2013, Wuhan, China

The Instructional Process As A Function Of Interactions Among Instructional Situation Variables

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Author : Elizabeth Joan Salmi
language : en
Publisher:
Release Date : 1971

The Instructional Process As A Function Of Interactions Among Instructional Situation Variables written by Elizabeth Joan Salmi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Education, Higher categories.