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Monday, October 26, 2015

Free Download First ABC Book (Black and White Alphabet for Babies)By B. Faye

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First ABC Book (Black and White Alphabet for Babies)By B. Faye

First ABC Book (Black and White Alphabet for Babies)By B. Faye


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First ABC Book (Black and White Alphabet for Babies)By B. Faye

With extensive experience in child psychology, children's author B. Faye has designed First ABC Book (Black and White Alphabet for Babies.) High contrast black and white images - proven to better stimulate babies' eye and brain development - are combined with a unique visual approach to introducing the alphabet. First ABC Book is your baby's ultimate visual exercise book, optimized for early mental growth driven by psychological research.

  • Sales Rank: #1740516 in Books
  • Published on: 2013-10-04
  • Format: Large Print
  • Original language: English
  • Dimensions: 8.25" h x .13" w x 8.25" l,
  • Binding: Paperback
  • 54 pages

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Tuesday, October 20, 2015

Ebook Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

From the Back Cover

Data Science and Big Data Analytics Discovering, Analyzing, Visualizing and Presenting Data Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities, methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment, and the learning is supported and explained with illustrative examples using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyze big data Learn how to tell a compelling story with data to drive business action Prepare for EMC ProvenTM Professional Data Scientist certification EMC Proven™ Professional is a leading education and certification program in the IT industry, providing comprehensive coverage of information storage technologies, virtualization, cloud computing, data science/big data analytics, and more... Being Proven means investing in yourself and formally validating your expertise! This book prepares you for the Data Science Associate exam E20-007 leading to EMC Proven Professional Data Science Associate (EMCDSA) certification. Visit http://education.EMC.com for details.

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About the Author

EMC is a global leader in enabling businesses and service providers to transform their operations and deliver IT as a service. Fundamental to this transformation is cloud computing. Through innovative products and services, EMC accelerates the journey to cloud computing, helping IT departments to store, manage, protect and analyze their most valuable asset — information — in a more agile, trusted and cost-efficient way. Additional information about EMC can be found at www.EMC.com

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Product details

Hardcover: 432 pages

Publisher: Wiley; 1 edition (January 27, 2015)

Language: English

ISBN-10: 111887613X

ISBN-13: 978-1118876138

Product Dimensions:

7.3 x 1.2 x 9.3 inches

Shipping Weight: 2.6 pounds (View shipping rates and policies)

Average Customer Review:

3.9 out of 5 stars

21 customer reviews

Amazon Best Sellers Rank:

#115,317 in Books (See Top 100 in Books)

Great book. I purchased to study for the Dell EMC DECA-DS certification, formerly “EMCDSA”. The book uses mostly R code examples which are great and understandable, but it did require me learning a little bit of R to fully comprehend. I come from a Python background and would have preferred more Python examples. There is very little Python based examples, mostly just for text mining. The book does get into Hadoop and related tools, but really at more of a theoretical level or basic overview.

Good but this stuff gets depricated so quickly unless this books gets updated every six months it is better to follow online courses and material. Most basic stuff of course still holds but rest is outdated.

I like this book

One of the best entry level books on big data analytics.

Excellent book for completing the Data Science and Big Data Analytics Dell EMC Proven Professional Course. It is an excellent reference for any Data Analytics project

This book is a great one. I found it easy to read.

This is a pretty decent book that covers a broad spectrum of topics including the the analytics life cycle, a brief but concise intro to R, to covering most of the advanced methods for analysis (k-means, linear regression, Naive Bayes, etc). It doesn't shy away from the math - but doesn't overwhelm either and, for the most part, is a fairly easy read. It should be treated as a reference and as a guide for the EMCDSA (EMC Data Science Associate) certification. There are probably better books for those just wading into data science but definitely worth adding to your library. For those who are complaining about no companion code examples it was an easy download from the Wiley website.

Excellent book. I have used it for teaching a graduate course in Analytics. I wish there were more examples on big data.

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Monday, October 19, 2015

Download Striking Back: The Trigeminal Neuralgia Handbook (Unabridged)

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Striking Back: The Trigeminal Neuralgia Handbook (Unabridged)

  • Published on: 1800
  • Binding: Paperback

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Friday, October 2, 2015

PDF Ebook The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley

PDF Ebook The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley

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The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley


The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley


PDF Ebook The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley

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The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient

The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the “omics” fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers.

The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:

  • The visible human
  • The physiological human
  • The virtual human
  • Research in systems biology
  • Multi-scale modeling
  • Personalized medicine
  • Self-quantification
  • Visualization
  • Computational modeling
  • Interdisciplinary collaboration

The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.


 

  • Sales Rank: #2735441 in Books
  • Published on: 2016-01-11
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x .70" w x 7.00" l, .0 pounds
  • Binding: Paperback
  • 336 pages

From the Back Cover

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient

The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the “omics” fields, which includes systems analysis, Big Data, as well as the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers, from both their own research and through the development of an effective framework into which their research will fit.

The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multi-scale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:

  • The visible human
  • The physiological human
  • The virtual human
  • Self-quantification
  • Research in systems biology 
  • Visualization
  • Multi-scale modeling
  • Computational modeling
  • Personalized medicine 
  • Interdisciplinary collaboration 

The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization. 

C. Donald Combs, PhD, is Vice President and Dean of the School of Health Professions at Eastern Virginia Medical School and is also a senior faculty member in the Department of Modeling, Simulation, and Visualization Engineering at Old Dominion University.  

John A. Sokolowski, PhD, is Associate Professor and Executive Director of the Virginia Modeling, Analysis, and Simulation Center at Old Dominion University.  

Catherine M. Banks, PhD, is Research Associate Professor at the Virginia Modeling, Analysis, and Simulation Center at Old Dominion University.

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The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley PDF
The Digital Patient: Advancing Healthcare, Research, and Education (Wiley Series in Modeling and Simulation)From Wiley PDF