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Results 1551-1560 of 3738 (Search time: 0.136 seconds).
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  • Data quality : empowering businesses with analytics and AI

    • Authors: Prashanth H. Southekal (2023)

  • Quality data is the key for business enterprises to offer improved performance in operations, compliance, and decision making. According to McKinsey, data driven organizations provide EBITDA increases between 15 to 25% than peers. However, to be a data driven organization, data quality is very important. But most companies are plagued with poor data quality. A HBR study found that just 3% of the data in a business enterprise meets quality standards. According to Gartner, 27% of data in the world's top companies is flawed--so companies are looking for practical guidance to improve data quality. This book examines the four-phase DARS approach (Define-Assess-Realize-Sustain) for companies to manage high quality data in organizations. This approach provides a combination of strategy and...
  • Sách/Book

  • Adobe premiere pro 2.0 revealed

    • Authors: Chris Botello (2006)

  • You couldn’t have picked a better time or place to develop your skills with digital video editing. Premiere Pro is a profes- sional digital video editing application cre- ated by Adobe Systems Incorporated.
  • Sách/Book

  • Computer architecture : a quantitative approach

    • Authors: John L. Hennessy (2007)

  • In the fourth edition of Computer Architecture, the authors focus on this historic shift, increasing their coverage of multiprocessors and exploring the most effective ways of achieving parallelism as the key to unlocking the power of multiple processor architectures.
  • Sách/Book

  • Windows 11 inside out

    • Authors: Ed Bott (2023)

  • Dive into Windows 11 and really put your Windows expertise to work. Focusing on the most powerful and innovative features of Windows 11, this supremely well-organized reference packs hundreds of time-saving solutions, up-to-date tips, and workarounds. From personalizing your Windows user experience to maximizing security and privacy, youll discover how experts tackle todays essential tasks. Make the most of Microsofts latest Windows enhancements as you challenge yourself to new levels of mastery
  • Sách/Book

  • Fundamentals of computational neuroscience

    • Authors: Thomas P. Trappenberg (2023)

  • This new edition of Fundamentals of Computational Neuroscience builds on the success and strenghts of the first two editions, while also streamlining the content to be more accessible and concise for the reader. The book includes new material based on recent success in AI (deep learning), predictive coding, and a new chapter on enhanced reinforcement learning. Another new feature is the switch from Matlab to Python, a free and more established programming environment that can be used to explore many of the mechanisms explained in the book.
  • Sách/Book

  • Introduction to digital signal processing : computer musically speaking

    • Authors: Tae Hong Park (2010)

  • This book offers an introduction to digital signal processing (DSP) with an emphasis on audio signals and computer music ... This book is designed for both technically and musically inclined readers alike--folks with a common goal of exploring digital signal processing
  • Sách/Book

  • Microsoft Word step by step (Office 2021 and Microsoft 365)

    • Authors: Joan Lambert (2023)

  • This is learning made easy. Get more done quickly with Microsoft Word. Jump in wherever you need answers brisk lessons and detailed screenshots show you exactly what to do, step by step. Create great-looking, well-organized, accessible documents to enhance communication Use headings, bookmarks, and footnotes for more intuitive access to knowledge Present complex information in diagrams and charts Illustrate concepts by using professional stock images, 3D models, icons, and screen clippings
  • Sách/Book

  • Blockchain tethered AI : trackable, traceable artifical intelligence and machine learning

    • Authors: Karen Kilyroy (2023)

  • Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with b...