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Books in Data general

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21-30 of 40 results in All results

Data Science

  • 2nd Edition
  • November 27, 2018
  • Vijay Kotu + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 4 7 6 1 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 4 7 6 2 - 7
Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You’ll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...

Principles and Practice of Big Data

  • 2nd Edition
  • July 23, 2018
  • Jules J. Berman
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 5 6 0 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 5 6 1 0 - 0
Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.

Introduction to Data Compression

  • 5th Edition
  • October 23, 2017
  • Khalid Sayood
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 9 4 7 4 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 9 7 0 5 - 2
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.

Misch's Avoiding Complications in Oral Implantology

  • 1st Edition
  • March 24, 2017
  • Carl E. Misch + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 3 7 5 8 0 - 1
  • eBook
    9 7 8 - 0 - 3 2 3 - 3 9 0 1 5 - 6
See how to effectively manage ALL dental implant complications throughout ALL phases of treatment! Avoiding Complications in Oral Implantology provides evidence-based management protocols for a wide range of implant problems such as placement complications, malpositioning, bleeding, infection, and nerve injuries. Hundreds of high-quality, full-color photos and illustrations clearly demonstrate the complications and their resolution. Edited by Carl Misch and Randolph Resnik — both well-known names in dental implantology and prosthodontics — and with a team of expert contributors, this authoritative guide helps you handle the implant-related complications that can occur as more and more patients choose dental implants.

Big Data and Smart Service Systems

  • 1st Edition
  • November 22, 2016
  • Xiwei Liu + 4 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 1 2 0 1 3 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 2 0 4 0 - 8
Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.