ǀ Advantages of reading Data Analytics Made Accessible: 2018 edition ჵ Kindle Ebook By Anil Maheshwari ᄐ

ǀ Advantages of reading Data Analytics Made Accessible: 2018 edition ჵ Kindle Ebook By Anil Maheshwari ᄐ ǀ Advantages of reading Data Analytics Made Accessible: 2018 edition ჵ Kindle Ebook By Anil Maheshwari ᄐ This book fills the need for a concise and conversational book on the growing field of Data Science Easy to read and informative, this lucid book covers everything important, with concrete examples, and invites the reader to join this field The chapters in the book are organized for a typical one semester course The book contains case lets from real world stories at the beginning of every chapter There is also a running case study across the chapters as exercises This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms Finally, it includes a tutorial for R platform The 2018 edition includes a new chapter on Artificial Intelligence primer The 2017 edition had added four new chapters in response to the thoughts and suggestions expressed by many reviewers The book has proved very popular throughout the world Many universities in the US and around the world have adopted it as a textbook for their courses Students across a variety of academic disciplines, including business, computer science, statistics, engineering, and others attracted to the idea of discovering new insights and ideas from data can use this as a textbook Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others can use this book to learn in a few hours how to make sense of and develop actionable insights from the enormous data coming their way This is a flowing book that one can finish in one sitting, or one can return to it again and again for insights and techniques.Table of ContentsChapter 1 Wholeness of Data AnalyticsChapter 2 Business Intelligence Concepts ve Bayes AnalysisChapter 13 Support Vector MachinesChapter 14 Web MiningChapter 15 Social Network AnalysisChapter 16 Big DataChapter 17 Data Modeling PrimerChapter 18 Statistics PrimerChapter 19 Artificial Intelligence PrimerChapter 20 Data Science CareersAppendix Data Mining Tutorial using R Data Analytics Made Accessible edition Kindle by Anil Maheshwari Download it once and read on your device, PC, phones or tablets Use features like bookmarks, note taking highlighting while reading Data analysis Wikipedia is a process of inspecting, cleansing, transforming, modeling data with the goal discovering useful information, informing conclusions, supporting decision making has multiple facets approaches, encompassing diverse techniques under variety names, being used in different business, science, social science domains ADAX ASEAN eXchange ADAX an initiative MDEC to enable businesses, governments, academia professionals rapidly adopt as tool empower innovation Big Big term refer sets that are too large complex for traditional processing application software adequately deal many cases rows offer greater statistical power, higher complexity attributes columns may lead false discovery rate challenges include capturing data, storage, Google Marketing Platform Unified Advertising Analytics analytics advanced tools get deeper understanding customers so you can deliver better experiences Studio Unlock insights from Dashboarding Visualization Tools Google Studio lets measure advertising ROI well track Flash, video, networking sites applications Lean Build Better Startup Faster Buy Lean Series FREE SHIPPING qualified orders AWS Sessions at Re Invent About Author Roy Ben Alta solution architect principal business development manager Web Services New York He focuses ML Technologies, working AWS build innovative driven products Which teams angles best have embraced most In four major pro leagues, we ranked leading way putting good use Sandeep Biography, Success Story, Seminars Sandeep Education one entrepreneurs India Inspite brilliant 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    • 156 pages
    • Data Analytics Made Accessible: 2018 edition
    • Anil Maheshwari
    • English
    • 2017-02-05T05:08+02:00