Big Data Classification Behavior Menggunakan Python
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Big Data Classification Behavior Menggunakan Python
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Author : Syafrial Fachri Pane
language : id
Publisher: Kreatif
Release Date : 2020-03-04
Big Data Classification Behavior Menggunakan Python written by Syafrial Fachri Pane and has been published by Kreatif this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-04 with Business & Economics categories.
Saat ini ialah era dimana hampir setiap orang adalah pengguna aktif internet. Dengan adanya pengguna aktif internet, maka jumlah data yang tersedia saat ini sangatlah besar. Kondisi seperti ini, muncullah big data dimana big data itu sendiri adalah sebuah konsep terkait kemampuan kita untuk mengumpulkan, menganalisa, dan mengerti akan jumlah data yang setiap harinya bertambah. Apalagi jika kita seorang pebisnis atau pengusaha, kita memperlukan ini untuk menganalisa dan mengumpulkan data. Sehingga kita membuat sebuah inovasi terhadap usaha kita tersebut berdasarkan hasil analisa data tersebut. Dari sisi pemrograman, python adalah salah satu yang terbaik untuk menerapkan big data tersebut. Mengingat terkait banyaknya library yang dibutuhkan untuk implementasi metode tersebut. Struktur pembahasan pada buku meliputi (1) Berkenalan dengan python, (2) Big Data, (3) Juputer Notebook, (4) Manipulasi Data, (5) Visualisasi Data, (6) Pengenalan Algoritma, serta (7) Classification behavior
Practical Web Scraping For Data Science
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Author : Seppe vanden Broucke
language : en
Publisher: Apress
Release Date : 2018-04-18
Practical Web Scraping For Data Science written by Seppe vanden Broucke and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-18 with Computers categories.
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. What You'll Learn Leverage well-established best practices and commonly-used Python packages Handle today's web, including JavaScript, cookies, and common web scraping mitigation techniques Understand the managerial and legal concerns regarding web scraping Who This Book is For A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.
Supervised And Unsupervised Learning For Data Science
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Author : Michael W. Berry
language : en
Publisher:
Release Date : 2020
Supervised And Unsupervised Learning For Data Science written by Michael W. Berry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018). Includes new advances in clustering and classification using semi-supervised and unsupervised learning; Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning; Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.
Data Preprocessing In Data Mining
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Author : Salvador García
language : en
Publisher: Springer
Release Date : 2014-08-30
Data Preprocessing In Data Mining written by Salvador García and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-30 with Technology & Engineering categories.
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
Smart Cities
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Author : Negin Minaei
language : en
Publisher: CRC Press
Release Date : 2022-03-27
Smart Cities written by Negin Minaei and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-27 with Nature categories.
In the age of global climate change, society will require cities that are environmentally self-sufficient, able to withstand various environmental problems and recover quickly. It is interesting to note that many "smart" solutions for cities are leading to an unsustainable future, including further electrification, an increased dependence on the Internet, Internet of Things, Big Data, and Artificial Intelligence, and basically any technology that leads us to consume more electricity. This book examines critical topics in Smart Cities such as true sustainability and the resilience required for all cities. It explores sustainability issues in agriculture and the role of agri-technology for a sustainable future, including a city’s ability to locally produce food for its residents. Features: Discusses safety, security, data management, and privacy issues in Smart Cities Examines the various emerging forms of transportation infrastructure and new vehicle technology Considers how energy efficiency can be achieved through behavioral change through specific building operations Smart Cities: Critical Debates on Big Data, Urban Development and Social Environmental Sustainability brings awareness to professionals working in the fields of environmental, civil, and transportation engineering, urban planners, and political leaders about different environmental aspects of Smart Cities and refocuses attention on critical urban infrastructure that will be necessary to respond to future challenges including climate change, food insecurity, natural hazards, energy production, and resilience.
Learning With Big Data
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Author : Viktor Mayer-Schönberger
language : en
Publisher: HarperCollins
Release Date : 2014-03-04
Learning With Big Data written by Viktor Mayer-Schönberger and has been published by HarperCollins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-04 with Education categories.
Homework assignments that learn from students. Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.
C4 5
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Author : J. Ross Quinlan
language : en
Publisher: Morgan Kaufmann
Release Date : 1993
C4 5 written by J. Ross Quinlan and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
This book is a complete guide to the C4.5 system as implemented in C for the UNIX environment. It contains a comprehensive guide to the system's use, the source code (about 8,800 lines), and implementation notes.
Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01
Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
It S Complicated
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Author : Danah Boyd
language : en
Publisher: Yale University Press
Release Date : 2014-02-25
It S Complicated written by Danah Boyd and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-25 with Social Science categories.
A youth and technology expert offers original research on teens’ use of social media, the myths frightening adults, and how young people form communities. What is new about how teenagers communicate through services like Facebook, Twitter, and Instagram? Do social media affect the quality of teens’ lives? In this book, youth culture and technology expert Danah Boyd uncovers some of the major myths regarding teens’ use of social media. She explores tropes about identity, privacy, safety, danger, and bullying. Ultimately, Boyd argues that society fails young people when paternalism and protectionism hinder teenagers’ ability to become informed, thoughtful, and engaged citizens through their online interactions. Yet despite an environment of rampant fear-mongering, Boyd finds that teens often find ways to engage and to develop a sense of identity. Boyd’s conclusions are essential reading not only for parents, teachers, and others who work with teens, but also for anyone interested in the impact of emerging technologies on society, culture, and commerce. Offering insights gleaned from more than a decade of original fieldwork interviewing teenagers across the United States, Boyd concludes reassuringly that the kids are all right. At the same time, she acknowledges that coming to terms with life in a networked era is not easy or obvious. In a technologically mediated world, life is bound to be complicated. “Boyd’s new book is layered and smart . . . It’s Complicated will update your mind.” —Alissa Quart, New York Times Book Review “A fascinating, well-researched and (mostly) reassuring look at how today's tech-savvy teenagers are using social media.” —People “The briefest possible summary? The kids are all right, but society isn’t.” —Andrew Leonard, Salon
Feature Engineering And Selection
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Author : Max Kuhn
language : en
Publisher: CRC Press
Release Date : 2019-07-25
Feature Engineering And Selection written by Max Kuhn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-25 with Business & Economics categories.
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.