Belajar Data Science Text Mining Untuk Pemula I
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Belajar Data Science Text Mining Untuk Pemula I
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Author : M Reza Faisal
language : id
Publisher: M Reza Faisal
Release Date : 2023-01-04
Belajar Data Science Text Mining Untuk Pemula I written by M Reza Faisal and has been published by M Reza Faisal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-04 with Computers categories.
Buku Text Mining Untuk Pemula I ini membahas dasar-dasar pemrograman R. Dilanjutkan dengan teknik koleksi data teks dan teknik preprocessing teks. Data teks kemudian dianalisis untuk mengetahui topik berbasis frekuensi dan analisis sentimen berbasis lexicon. Pada bab terakhir dibahas tentang ekstraksi fitur data teks untuk membentuk data terstruktur agar siap diproses oleh algoritma machine learning.
Buku Ajar Data Mining
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Author : Prastyadi Wibawa Rahayu
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2024-01-16
Buku Ajar Data Mining written by Prastyadi Wibawa Rahayu and has been published by PT. Sonpedia Publishing Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-16 with Education categories.
Buku Ajar Data Mining ini disusun sebagai buku panduan komprehensif yang menjelajahi kompleksitas dan mendalamnya tentang ilmu sistem informasi. Buku ini dapat digunakan oleh pendidik dalam melaksanakan kegiatan pembelajaran di bidang ilmu sistem informasi dan diberbagai bidang Ilmu terkait lainnya. Buku ini dapat digunakan sebagai panduan dan referensi mengajar mata kuliah data mining dan menyesuaikan dengan Rencana Pembelajaran Semester tingkat Perguruan Tinggi masing-masing. Secara garis besar, buku ajar ini pembahasannya mulai dari data mining and knowledge discovery process, data understanding, knowledge representation, data preprocessing. Buku ini juga membahas materi penting lainnya seperti data mining roles, classification and prediction, cluster analysis, association rules. Selain itu materi mengenai Text Mining dan Feature extraction and selection Method dibahas secara mendalam. Buku ajar ini disusun secara sistematis, ditulis dengan bahasa yang jelas dan mudah dipahami, dan dapat digunakan dalam kegiatan pembelajaran.
Data Lake Architecture
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Author : Bill Inmon
language : en
Publisher:
Release Date : 2016
Data Lake Architecture written by Bill Inmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Big data categories.
Data Lake Architecture will explain how to build a useful data lake, where data scientists and data analysts can solve business challenges and identify new business opportunities
The Entrepreneurial Society
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Author : David B. Audretsch
language : en
Publisher: Oxford University Press
Release Date : 2007-07-02
The Entrepreneurial Society written by David B. Audretsch and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-02 with Business & Economics categories.
Previous generations enjoyed the security of lifelong employment with a sole employer. Public policy and social institutions reinforced that security by producing a labor force content with mechanized repetition in manufacturing plants, and creating loyalty to one employer for life. This is no longer the case. Globalization and new technologies have triggered a shift away from capital and towards knowledge. In today's global economy, where jobs and factories can be moved quickly to low-cost locations, the competitive advantage has shifted to ideas, insights, and innovation. But it is not enough just to have new ideas. It takes entrepreneurs to actualize them by championing them to society. Entrepreneurship has emerged as the proactive response to globalization. In this book, award-winning economist David B. Audretsch identifies the positive, proactive response to globalization--the entrepreneurial society, where change is the cutting edge and routine work is inevitably outsourced. Under the managed economy of the cold war era, government policies around the world supported big business, while small business was deemed irrelevant and largely ignored. The author documents the fundamental policy revolution underway, shifting the focus to technology and knowledge-based entrepreneurship, where start-ups and small business have emerged as the driving force of innovation, jobs, competitiveness and growth. The role of the university has accordingly shifted from tangential to a highly valued seedbed for coveted new ideas with the potential to create not just breathtaking new ventures but also entire new industries. By understanding the shift from the managed economy and the emergence of the entrepreneurial society, individuals, businesses, and communities can learn how to proactively harness the opportunities afforded by globalization in this new entrepreneurial society.
Data Mining For The Masses
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Author : Matthew North
language : en
Publisher:
Release Date : 2012-08-18
Data Mining For The Masses written by Matthew North and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-18 with Data mining categories.
Have you ever found yourself working with a spreadsheet full of data and wishing you could make more sense of the numbers? Have you reviewed sales or operations reports, wondering if there's a better way to anticipate your customers' needs? Perhaps you've even thought to yourself: There's got to be more to these figures than what I'm seeing! Data Mining can help, and you don't need a Ph.D. in Computer Science to do it. You can forecast staffing levels, predict demand for inventory, even sift through millions of lines of customer emails looking for common themes-all using data mining. It's easier than you might think. In Data Mining for the Masses, professor Matt North-a former risk analyst and database developer for eBay.com-uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions. You've got data and you know it's got value, if only you can figure out how to unlock it. This book can show you how. Let's start digging! Through an agreement with the Global Text Project, an electronic version of this text is available online at (http://globaltext.terry.uga.edu/books). Proceeds from the sales of printed copies through Amazon enable the author to support the Global Text Project's goal of making electronic texts available to students in developing economies.
Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. 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: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Streaming Systems
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Author : Tyler Akidau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-07-16
Streaming Systems written by Tyler Akidau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-16 with Computers categories.
Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra
Ebook The Complete Guide To Referencing And Avoiding Plagiarism
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Author : Colin Neville
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2010-02-16
Ebook The Complete Guide To Referencing And Avoiding Plagiarism written by Colin Neville and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-16 with Juvenile Nonfiction categories.
This excellent new edition of The Complete Guide to Referencing and Avoiding Plagiarism will continue to demystify the referencing process and provide essential guidance on making sure you are not committing plagiarism. It provides clear guidelines on why and when to reference as well as how to correctly cite from a huge range of sources. Tackling all the main forms of referencing - Harvard, APA, MLA and Numerical referencing styles – in an accessible and comprehensive manner, you’ll want to dip into this book again and again. This new edition offers additional ‘frequently asked questions’ and answers; quotations from real students; referencing in action; exercises and quizzes to test your knowledge; more information on referencing management software; and a detailed guide to referencing electronic sources and choosing reliable internet sites. The Complete Guide to Referencing & Avoiding Plagiarism is essential reading for all students and professionals who need to use referencing to accurately reflect the work of others and avoid plagiarism.
Introduction To Data Science
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Author : Rafael A. Irizarry
language : en
Publisher: CRC Press
Release Date : 2019-11-12
Introduction To Data Science written by Rafael A. Irizarry and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Mathematics categories.
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert. A complete solutions manual is available to registered instructors who require the text for a course.
Systems Analysis And Design
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Author : Alan Dennis
language : en
Publisher: John Wiley & Sons
Release Date : 2020-11-17
Systems Analysis And Design written by Alan Dennis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Computers categories.
Systems Analysis and Design: An Object-Oriented Approach with UML, Sixth Edition helps students develop the core skills required to plan, design, analyze, and implement information systems. Offering a practical hands-on approach to the subject, this textbook is designed to keep students focused on doing SAD, rather than simply reading about it. Each chapter describes a specific part of the SAD process, providing clear instructions, a detailed example, and practice exercises. Students are guided through the topics in the same order as professional analysts working on a typical real-world project. Now in its sixth edition, this edition has been carefully updated to reflect current methods and practices in SAD and prepare students for their future roles as systems analysts. Every essential area of systems analysis and design is clearly and thoroughly covered, from project management, to analysis and design modeling, to construction, installation, and operations. The textbook includes access to a range of teaching and learning resources, and a running case study of a fictitious healthcare company that shows students how SAD concepts are applied in real-life scenarios.