Jumat, 30 Juli 2010

[T241.Ebook] Download Ebook Technologies for Smart Sensors and Sensor Fusion (Devices, Circuits, and Systems)From CRC Press

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Technologies for Smart Sensors and Sensor Fusion (Devices, Circuits, and Systems)From CRC Press

Exciting new developments are enabling sensors to go beyond the realm of simple sensing of movement or capture of images to deliver information such as location in a built environment, the sense of touch, and the presence of chemicals. These sensors unlock the potential for smarter systems, allowing machines to interact with the world around them in more intelligent and sophisticated ways.

Featuring contributions from authors working at the leading edge of sensor technology, Technologies for Smart Sensors and Sensor Fusion showcases the latest advancements in sensors with biotechnology, medical science, chemical detection, environmental monitoring, automotive, and industrial applications. This valuable reference describes the increasingly varied number of sensors that can be integrated into arrays, and examines the growing availability and computational power of communication devices that support the algorithms needed to reduce the raw sensor data from multiple sensors and convert it into the information needed by the sensor array to enable rapid transmission of the results to the required point.

Using both SI and US units, the text:

  • Provides a fundamental and analytical understanding of the underlying technology for smart sensors
  • Discusses groundbreaking software and sensor systems as well as key issues surrounding sensor fusion
  • Exemplifies the richness and diversity of development work in the world of smart sensors and sensor fusion

Offering fresh insight into the sensors of the future, Technologies for Smart Sensors and Sensor Fusion not only exposes readers to trends but also inspires innovation in smart sensor and sensor system development.

  • Sales Rank: #976824 in Books
  • Published on: 2014-04-14
  • Original language: English
  • Number of items: 1
  • Dimensions: 1.30" h x 7.30" w x 10.10" l, 2.30 pounds
  • Binding: Hardcover
  • 491 pages

About the Author

Dr. Kevin Yallup graduated from Cambridge University, UK with a degree in natural sciences, specializing in solid state physics. He received his Ph.D from University of Leuven, Belgium. Currently, he is chief technical officer at Alberta Centre for Advanced MNT Products, Edmonton, Canada. He possesses over 15 years of experience in MNT product development in a number of industries and has held engineering management roles at Technology for Industry Ltd., CDT Ltd., Kymata Ltd., BCO Technologies (NI) Ltd., National Semiconductor, and Analog Devices. Additionally, he has worked with various universities and companies to take a technology through to full commercialization.

Dr. Krzysztof (Kris) Iniewski is managing R&D at Redlen Technologies Inc., Vancouver, British Columbia, Canada, a leading manufacturer of high resolution cadmium zinc telluride semiconductor radiation detectors. He is also president of CMOS Emerging Technologies Research Inc., Coquitlam, British Columbia, Canada, an organization hosting high-tech events on communications, microsystems, optoelectronics, and sensors. A popular speaker and consultant, he has published over 100 research papers, written and edited several books, and held faculty and management positions at University of Toronto, Ontario, Canada; University of Alberta, Edmonton, Canada; Simon Fraser University, Burnaby, British Columbia, Canada; and PMC-Sierra Inc., Burnaby, British Columbia, Canada.

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Four Stars
By Ricardo M. Palomar
Very good

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[T200.Ebook] Download The Creative Imagination: Enlightenment to Romanticism, by James Engell

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In a work of astonishing intellectual range, James Engell traces the evolution of the creative imagination, from its emergence in British empirical thought through its flowering in Romantic art and literature. The notion of a creative imagination, Engell shows, was the most powerful and important development of the eighteenth century. It grew simultaneously in literature, criticism, philosophy, psychology, religion, and science, attracting such diverse minds as Hobbes, Addison, Gerard, Goethe, Kant, and Coleridge. Indeed, rather than discussing merely the abstract notion of the imagination, Engell examines the community of thinkers, especially in England and Germany, who joined to pursue and develop what became the most fascinating and suggestive concept of modern Western thought. For as the imagination became the dominant subject of literature, its meanings multiplied. Finally it came to be seen as the crown of artistic creation and as the mediator in the ongoing dialectic between matter and spirit, materialism and transcendentalism.

  • Sales Rank: #2509462 in Books
  • Brand: Brand: Harvard University Press
  • Published on: 1981-02-20
  • Original language: English
  • Number of items: 1
  • Dimensions: 1.38" h x .59" w x 2.28" l,
  • Binding: Hardcover
  • 435 pages
Features
  • Used Book in Good Condition

About the Author
James Engell, Professor of English and Comparative Literature, Harvard, is the author of The Creative Imagination, editor and contributor to Johnson and His Age, and coeditor (with David Perkins) of Teaching Literature: What is Needed Now, all published by Harvard University Press. He is also coeditor of the Bollingen edition of the Biographia Literaria for the Collected Works of Coleridge.

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0 of 0 people found the following review helpful.
Hansel & Gretel
By David S. Klugman
For anyone interested in what happened along the way as we - A RACE: EUROPEAN HOMO SAPIENS - human beings were putting things together so as to make sense of them, to contribute so heavily to our having now - AS A RACE: THE DOMINANT AMERICAN & GLOBAL Human Being Consumer-Producer RACE OF HOMO SAPIENS that produced it - fallen so Deeply & Entirely & Seeming Inexorably into the mainstream Thud &Thought & Dumb Complacency of Material Belief, & how that has so weighed down the progress of the Whole Human Being Process as just one - & yet one with ALL - brief occasion on the Planet Earth - this book tells you where to find the breadcrumbs.

0 of 0 people found the following review helpful.
I cannot recommend it enough
By Terry Campbell
Anyone interested in more fully understanding the Romantic Movement in English literature will find this book to be essential reading. It is well organized, erudite without overpowering, and highly readable. I cannot recommend it enough.

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Rabu, 28 Juli 2010

[B623.Ebook] Download PDF Attracting Native Pollinators The Xerces Society Guide, Protecting North Americas Bees and Butterflies

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Attracting Native Pollinators The Xerces Society Guide, Protecting North Americas Bees and Butterflies

  • Sales Rank: #6539695 in Books
  • Published on: 1994
  • Binding: Paperback

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Selasa, 27 Juli 2010

[Q859.Ebook] Free PDF "Desert Roses Series (3 Books)

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Desert Roses 3 book series by Tracie Peterson. Through the pen Tracie writes about the Harvey girls who delight their readers with intrigue & surprise, set in the southwest (Winslow, AZ)

  • Sales Rank: #402832 in Books
  • Published on: 2002
  • Binding: Paperback

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Selasa, 20 Juli 2010

[R311.Ebook] Free PDF Holocaust Fiction, by Sue Vice

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Examining the controversies that have accompanied the publication of novels representing the Holocaust, this compelling book explores such literature to analyze their violently mixed receptions and what this says about the ethics and practice of millennial Holocaust literature. The novels examined, including some for the first time, are:

* Time's Arrow by Martin Amis
* The White Hotel by D.M. Thomas
* The Painted Bird by Jerzy Kosinski
* Schindler's List by Thomas Keneally
* Sophie's Choice by William Styron
* The Hand that Signed the Paper by Helen Darville.

Taking issue with the idea that the Holocaust should only be represented factually, this compelling book argues that Holocaust fiction is not only legitimate, but an important genre that it is essential to accept. In a growing area of interest, Sue Vice adds a new, intelligent and contentious voice to the key debates within Holocaust studies.

  • Sales Rank: #4457619 in Books
  • Published on: 2000-07-01
  • Released on: 2000-04-06
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x .56" w x 6.14" l, .78 pounds
  • Binding: Paperback
  • 248 pages

Review
'Now we may well wish that extracts from these diaries should appear in the National Curriculum - certainly there is nothing in the realm of home-grown 'Holocaust fiction' that comes anywhere near them for detailed fascination and capacity for enlightenment.' - Piotr Kuhiwczak, The Cambridge Quarterly, Vol. 30 (2) 2001

About the Author
Sue Vice is Reader in English Literature at the University of Sheffield, and set up Britain's first Holocaust Studies MA. Her publications include Introducing Bakhtin (1997).

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Rabu, 14 Juli 2010

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Strategy Rules: Five Timeless Lessons from Bill Gates, Andy Grove, and Steve Jobs, by David B. Yoffie, Michael A. Cusumano

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Strategy Rules: Five Timeless Lessons from Bill Gates, Andy Grove, and Steve Jobs, by David B. Yoffie, Michael A. Cusumano

The authors of the bestselling Competing on Internet Time (a Business Week top 10 book) analyze the strategies, principles, and skills of three of the most successful and influential figures in business—Bill Gates, Andy Grove, and Steve Jobs—offering lessons for all managers and entrepreneurs on leadership, strategy and execution.

In less than a decade, Bill Gates, Steve Jobs, and Andy Grove founded three companies that would define the world of technology and transform our lives. At their peaks, Microsoft, Apple, and Intel were collectively worth some $1.5 trillion. Strategy Rules examines these three individuals collectively for the first time—their successes and failures, commonalities and differences—revealing the business strategies and practices they pioneered while building their firms.

David B. Yoffie and Michael A. Cusumano have studied these three leaders and their companies for more than thirty years, while teaching business strategy, innovation and entrepreneurship at Harvard and MIT. In this enlightening guide, they show how Gates, Grove, and Jobs approached strategy and execution in remarkably similar ways—yet markedly differently from their erstwhile competitors—keeping their focus on five strategic rules.

Strategy Rules brings together the best practices in strategic management and high-tech entrepreneurship from three path-breaking entrepreneurs who emerged as CEOs of huge global companies. Their approaches to formulating strategy and building organizations offer unique insights for start-up executives as well as the heads of modern multinationals.

  • Sales Rank: #159229 in Books
  • Published on: 2015-04-14
  • Released on: 2015-04-14
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.00" h x .93" w x 6.00" l, .0 pounds
  • Binding: Hardcover
  • 272 pages

Review
“Warts and all, here is the inside story on how three unlikely leaders changed the world forever and created a trillion dollars of market cap. Two brilliant business professors with unique access provide lessons for any business and its leaders.” (Scott Cook, Founder & Chairman, Intuit)

“No one but these co-authors could have distilled the histories of these great CEOs and their world-changing firms into a handful of lucid and logical guidelines for all strategic thinking. Everyone in business --whether in big companies or small -- should read, mark, and digest this book.” (Reed Hundt, CEO, Coalition for Green Capital; former chairman, FCC)

“Brilliantly and accurately explains how these legendary high-tech CEOs shaped the world we live in. A must read for today’s aspiring leaders”. (John Sculley, former Apple CEO)

“This is not just about strategy for technology companies but about how bold, passionate and deeply knowledgeable leaders work. It is required reading for those who aspire to push the boundaries of business. ” (John Browne, former CEO BP and former board member of Intel)

From the Back Cover

Between 1968 and 1976, Bill Gates, Andy Grove, and Steve Jobs launched three companies that would define the world of high technology, create more than a trillion dollars in value, and transform our lives. How did they realize these incredible achievements? Strategy Rules examines these three individuals collectively for the first time—their successes and failures, comonalities and differences—revealing the business strategies and practices they pioneered while building their firms.

Eminent business professors David Yoffie and Michael Cusumano have studied these three leaders and their companies for nearly thirty years, while teaching business strategy, innovation, and entrepreneurship at Harvard Business School and the MIT Sloan School of Management. In this enlightening guide, they show how Gates, Grove, and Jobs became masters of strategy. As CEOs, each approached strategy and execution in remarkably similar ways—yet markedly differently from their erstwhile competitors—keeping their focus on five rules:

  • Look Forward, Reason Back: They determined where they want their companies to be in the future and could "reason back" to identify the moves that would take them there.
  • Make Big Bets, Without Betting the Company: All three men made enormous strategic bets but rarely took gambles that put the financial viability of their companies at undue risk.
  • Build Platforms and Ecosystems: Technology leaders have to create industry platforms that enable other firms to create complementary products and services that make the platforms increasingly valuable.
  • Exploit Leverage and Power: Gates, Grove, and Jobs often turned opponents’ strengths into weaknesses and used enormous resources (once they had them) to dominate competitors.
  • Shape the Company around Your Personal Anchor: From Gates’ understanding of software to Grove’s devotion to process discipline and Jobs’ obsession with design, all three built their companies around their personal strengths while compensating for their weaknesses.

Strategy Rules brings together the best practices in strategic management and high-tech entrepreneurship, providing unique insights for start-up executives as well as the heads of modern multinationals.

About the Author

Professors David B. Yoffie and Michael A. Cusumano are the authors of the bestselling Competing on Internet Time.

Yoffie is the Max and Doris Starr Professor of International Business Administration at Harvard Business School and is the longest-serving member of the Intel board of directors. He is the author, coauthor, or editor of nine books and has written extensively for the New York Times, the Wall Street Journal, and the Harvard Business Review.

Cusumano is the Sloan Management Review Distinguished Professor of Management at the Massachusetts Institute of Technology's Sloan School of Management, with a joint appointment in the MIT School of Engineering. He is the author, coauthor, or editor of eleven books, including the classic bestseller Microsoft Secrets and Staying Power: Six Enduring Principles for Managing Strategy and Innovation in an Uncertain World.



Professors David B. Yoffie and Michael A. Cusumano are the authors of the bestselling Competing on Internet Time.

Yoffie is the Max and Doris Starr Professor of International Business Administration at Harvard Business School and is the longest-serving member of the Intel board of directors. He is the author, coauthor, or editor of nine books and has written extensively for the New York Times, the Wall Street Journal, and the Harvard Business Review.

Cusumano is the Sloan Management Review Distinguished Professor of Management at the Massachusetts Institute of Technology's Sloan School of Management, with a joint appointment in the MIT School of Engineering. He is the author, coauthor, or editor of eleven books, including the classic bestseller Microsoft Secrets and Staying Power: Six Enduring Principles for Managing Strategy and Innovation in an Uncertain World.

Most helpful customer reviews

11 of 11 people found the following review helpful.
Into the Looking Glass – Reflecting on Our Own Strategy Rules
By Phil M Dubois
Although a study of the personalities, similarities and differences of three leading technology CEOs of our time, “Strategy Rules” is more than one more contribution to the biographical literature of the larger-than-life careers of Bill Gates, Andy Grove and Steve Jobs. It shifts up a gear (or five) by analyzing their strategic decisions – the good and the bad – as they built their companies. These are used to illustrate five strategy rules that can be applied by CEOs of any size company to achieve their long-term goals.

We may not all be destined to build a platform (the lesson here for many of us may be leveraging how our product can maximize its impact within its own ecosystem), nor may we have the scale to use every one of the five strategies completely. But Strategy Rules provides a foundation from which we as CEOs can examine and strengthen our own company’s strategy.

The first rule “Look Forward, Reason Back” was my personal nugget, the subject of the one chapter I re-read the first time through the book. To me it drove to the core of how we need to approach thinking strategically, moving away from (or perhaps combining with) the more natural process of reasoning forward from our current position.

Strategy Rules holds up a mirror, offering up a framework to guide and measure our own performance to think and act strategically – a mirror through which to examine ourselves in the context of five strategies that can make a difference as we build our own businesses. Strategy Rules is a compelling, must-read for technology CEOs.

12 of 13 people found the following review helpful.
A Business Masterpiece
By Tom Rogers
As a CEO, this provided incredibly valuable insight into how a masterclass set of CEOs have approached the job of not only defining masterful strategies, but how they were able to master the implementation of those strategies in enormously consequential ways. Senior executives at companies of all sizes should master the many tips Strategy Rules provides. A business masterpiece.
Tom Rogers, President and CEO - Tivo Inc.

5 of 5 people found the following review helpful.
5 Rules, 4 Principles make a great Strategy Framework
By B.Sudhakar Shenoy
Books on Business Strategy usually provide a rear view mirror historical picture of how great companies succeeded and then an analysis to converge on putting the findings into perspective in the form of Frameworks that can adopted by others. Despite this disadvantage in approach, the years of effort put in by such in-depth research comes in handy and at least as a good check list, compass and road map, to navigate successfully and win in the rapidly changing, hostile and unforgiving business landscape.

This book provides first hand detailed insights into the strategic mind sets of leaders of three great technology companies- Intel, Microsoft and Apple that shaped the world of computing and business for over three decades.

There are five clear Rules that are distilled from the experiences of Gates, Grove and Jobs and each of these Rules are further broken into four principles. When I look at these from another angle, the Rules appear to be the strategic intent and the principles are the engines of execution. Both put together, form the foundation of a robust strategy, well executed.

There are many similarities amongst the three great leaders. All of them were passionate about something – Gates with software, Grove with discipline and Jobs with design. But the similarity soon ends and each of them practiced the Rules in their own way, and the emphasis was vastly different. One chapter each devoted to the five Rules neatly subdivided into the four principles and a good narration on the similarities and divergences between the three leaders makes this book a very systematic and comprehensive study.

I find some findings in other recent books on Business Strategy that fit very well into the framework of this book. The five step approach in ‘Playing to Win: How Strategy Really Works’, by Lafley and Martin is very similar right from creating the winning aspiration and the four rigorous steps that follow on execution.

Some principles from the elegant framework in the book ‘Great by Choice’ by Collins are also firmly embedded in the thought process of all the three leaders.

In an era of unprecedented changes in the technological landscape, rapidly shifting customer needs, accelerated industry Clock Speeds and fierce competitive forces sweeping global markets, this book is a great read that provides the intellectual clarity and pitfalls to be avoided in strategy formulation and execution process.

See all 39 customer reviews...

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Senin, 05 Juli 2010

[S467.Ebook] Ebook Free The Formation of Candomblé: Vodun History and Ritual in Brazil (Latin America in Translation/en Traducción/em Traduç&a

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The Formation of Candomblé: Vodun History and Ritual in Brazil (Latin America in Translation/en Traducción/em Traduç&a

Interweaving three centuries of transatlantic religious and social history with historical and present-day ethnography, Luis Nicolau Pares traces the formation of Candomble, one of the most influential African-derived religious forms in the African diaspora, with practitioners today centered in Brazil but also living in Europe and elsewhere in the Americas. Originally published in Brazil and not available in English, The Formation of Candomble reveals cultural changes that have occurred in religious practices within Africa, as well as those caused by the displacement of enslaved Africans in the Americas.
Departing from the common assumption that Candomble originated in the Yoruba orixa (orisha) worship, Pares highlights the critical role of the vodun religious practices in its formation process. Vodun traditions were brought by enslaved Africans of Dahomean origin, known as the "Jeje" nation in Brazil since the early eighteenth century. The book concludes with Pares's account of present-day Jeje temples in Bahia, which serves as the first written record of the oral traditions and ritual of this particular nation of Candomble.

  • Sales Rank: #1231732 in Books
  • Published on: 2013-11-17
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.50" h x 6.50" w x 1.25" l, 1.34 pounds
  • Binding: Paperback
  • 424 pages

Review
In his comparison of Jeje rituals from both sides of the Atlantic, Pares gives the most thorough analysis of African cultural transmission to Brazil since the pioneering work of French anthropologist Pierre Verger. . . . Highly recommended.--Choice



This new translation of [Pares's] work will bring his many insights to a wider audience and will be welcomed especially by scholars of the Black Atlantic not able to access his work in Portuguese.--American Historical Review



The first historical study on the creation of Candomble….An exceptional study…incredibly detailed.--Journal of African American History

Review
With scholarly rigor, a historically-grounded Africanist perspective, extensive research, and methodological sophistication, Pares's pathbreaking book is cultural history at its best.--Joao Jose Reis, author of Slave Rebellion in Brazil: The Muslim Uprising of 1835 in Bahia

From the Inside Flap
Interweaving three centuries of transatlantic religious and social history with historical and present-day ethnography, Luis Nicolau Pares traces the formation of Candomble, one of the most influential African-derived religious forms in the African diaspora, with practitioners today centered in Brazil but also living in Europe and elsewhere in the Americas. Originally published in Brazil and not available in English, The Formation of Candomble reveals cultural changes that have occurred in religious practices within Africa, as well as those caused by the displacement of enslaved Africans in the Americas.

Most helpful customer reviews

2 of 2 people found the following review helpful.
The most thorough analysis of African cultural transmission to Brazil since the pioneering work of Pierre Verger
By Stephen D. Glazier
This study focuses on Candombl� temples in Bahia, Brazil, and how they have been influenced by the Jeje (Gbe-speaking) peoples of Benin, Ghana, and Togo. The author outlines three centuries of African and Afro-Brazilian religious history with special attention to historical demography and the genealogy of religions. Previous studies of Candomble have focused mainly on Yoruba influences, but -- as Pares convincingly documents -- Jeje peoples were the single largest ethnic group brought to Brazil during the first two decades of the 1800s. The last two chapters contain richly-detailed ethnographies of two well-known Jeje temples – Bogum and Seja Hunde. Both temples attract clients representing a variety of social classes and ethnic groups. In his comparison of Jeje rituals on both sides of the Atlantic, Pares gives the most thorough analysis of African cultural transmission to Brazil since the pioneering work of 20th century French anthropologist Pierre Verger. Richard Vernon has provided a first-rate English translation of the 2006 Portuguese edition. Stephen D. Glazier, University of Nebraska-Lincoln in Choice..

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Kamis, 01 Juli 2010

[Q593.Ebook] Free PDF Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition, by Valentine Fontama, Roger Barga, Wee Hyong Tok

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Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition, by Valentine Fontama, Roger Barga, Wee Hyong Tok

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models.

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  • Sales Rank: #326866 in Books
  • Published on: 2015-08-19
  • Released on: 2015-08-26
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .73" w x 6.10" l, .0 pounds
  • Binding: Paperback
  • 291 pages

About the Author
Valentine Fontama is a Principal Data Scientist in the Data and Decision Sciences Group (DDSG) at Microsoft, where he leads external consulting engagements that deliver world-class Advanced Analytics solutions to Microsoft’s customers. Val has over 18 years of experience in data science and business. Following a PhD in Artificial Neural Networks, he applied data mining in the environmental science and credit industries. Before Microsoft, Val was a New Technology Consultant at Equifax in London where he pioneered the application of data mining to risk assessment and marketing in the consumer credit industry. He is currently an Affiliate Professor of Data Science at the University of Washington. In his prior role at Microsoft, Val was a Senior Product Marketing Manager responsible for big data and predictive analytics in cloud and enterprise marketing. In this role, he led product management for Microsoft Azure Machine Learning; HDInsight, the first Hadoop service from Microsoft; Parallel Data Warehouse, Microsoft’s first data warehouse appliance; and three releases of Fast Track Data Warehouse. He also played a key role in defining Microsoft’s strategy and positioning for in-memory computing.Val holds an M.B.A. in Strategic Management and Marketing from Wharton Business School, a Ph.D. in Neural Networks, a M.Sc. in Computing, and a B.Sc. in Mathematics and Electronics (with First Class Honors). He co-authored the book Introducing Microsoft Azure HDInsight, and has published 11 academic papers with 152 citations by over 227 authors.

Most helpful customer reviews

7 of 7 people found the following review helpful.
Recommended for AzureML and Data Science
By Mark Tabladillo (MarkTab)
This purchase review is based on the Alpha Book (pre-publication electronic version): I will have full access to the production version of the book, at which point I will update this commentary.

Short Review:
Having owned and read many books on data science, I recommend this book for both advanced business analysts and data scientists. In brief, if you plan to use Microsoft Azure Machine Learning for commercial or non-profit purposes, you need to have this authoritative reference available. The cost (either paperback or electronic) is minimal compared to the value you will receive from this book and its recommended resources. This book will guide you in how to make a data science experiment, and the best practices from AzureML, straight from the people who helped spearhead this new cloud-based technology.

Longer Review:
This longer review provides details on the book for the purpose of informing a purchase decision. I will review the technology, and end on a description of my background.

This book is valuable to advanced business analysts since it does not assume previous exposure to Data Science. The book provides a foundation of the key ideas of data science, describes how Microsoft Azure Machine Learning exposes data science, provides several business use-case scenarios for using the technology, and has many references for further learning. The book describes how to get started in minutes: matching my first-hand AzureML experience with the book’s exercises, I can verify that you can see results in minutes.

This book is valuable to already-trained data scientists (statisticians and application developers) since it provides a foundational look at how Microsoft is providing Azure-based (cloud) model building and web services. First, this technology works on any browser. You can be using the laptop OS (including Apple, Linux, UNIX) or tablet OS (including Android, iPad) of your choice and produce data science experiments with Microsoft Azure Machine Learning. Second, this technology is priced on usage. Third, although this technology has its own native machine learning algorithms, you can alternatively (or in combination) use R code for your experiments. Fourth, this technology allows for creating a web service, and even provides the application connection code (in C#, Python, and R) to your web service. There is a well-done video from Microsoft on this last point on YouTube: contact me if you cannot find it.

Microsoft Azure Machine Learning is cloud-based, managed from a browser, and you can try Azure free for a month (given a certain number of credits) to get started. Microsoft recently announced a free tier which does NOT require a credit card or Azure subscription, excellent for students (whether high school, university, graduate school). Microsoft previously (and still) produces SQL Server Data Mining, which requires the Windows OS and a SQL Server license: I have worked with clients doing serious production projects with that proven and scalable technology. By contrast, Microsoft Azure Machine Learning works in Azure (cloud), requires data to be in the cloud, and provides an easy way to produce a web service (build applications for enterprise through entrepreneurial use).

Table of Contents:
Part 1: Introducing Data Science and Microsoft Azure Machine Learning
1. Introduction to Data Science
2. Introducing Microsoft Azure Machine Learning
3. Integration with R
Part 2: Statistical and Machine Learning Algorithms
4. Introduction to Statistical and Machine Learning Algorithms
Part 3: Practical Applications
5. Customer Propensity Models
6. Building Churn Models
7. Customer Segmentation Models
8. Predictive Maintenance

Chapter 1 provides foundational definitions for data science. Chapter 2 is a specific how-to-build an experiment with Microsoft Azure Machine Learning. At the end of the second chapter you have a fully working experiment in minutes (though, you will need to shut off your phone and email, and be in a place where you can concentrate). Chapter 3 discusses what is available with R, and you build an experiment: you can have an R widget which accepts up to 2 dataset inputs and a ZIP file with your R code (uploaded from your operating system, which need not be Windows).

Chapter 4 describes the difference among the machine learning algorithms in the categories of regression (linear regression, neural networks, decision trees, boosted decision trees), classification (support vector machines, Bayes point machines) and clustering (k-means).

Chapters 5 through 8 are especially valuable to advanced business analysts or people new to data science. Each chapter provides a description of a type of common use for machine learning, along with a business problem and specific experiments. This book is written by the people who helped build the technology, and the book’s first author Roger Barga had a key role in leading this technology’s development. The key development team included experienced Microsoft professionals who have contributed to Microsoft Research, Bing, and other areas in Microsoft. All the book authors have been contributors to training their fellow Microsoft professionals and also the general user community in data science, and you can find their contributions by searching for them in Bing.

One area which this book could have stressed more is the strength and depth of the Microsoft community, and the communal use of AzureML. The technology has an active forum hosted at Microsoft’s website supporting your technical Azure questions. Microsoft has a new blog on machine learning, including and beyond AzureML. There is an area called Connect where you can report bugs or provide feedback suggestions. If you create a Microsoft partner relationship, you might be involved in the development of new Microsoft technology. Next, we know from many data science competitions that the largest projects are completed with teams. Microsoft Azure Machine Learning was made with teams in mind: you can create workspaces and invite people to jointly have access. People working across time zones can develop experiments 24*7, if they so choose. That option might be important if you are needing to ramp up a new application for an entrepreneurial venture. Microsoft is uniformly encouraging professional team collaboration through AzureML and Office 365. Finally, there is a Machine Learning Marketplace already available where you can both purchase and publish experiments. Microsoft has already published some free demonstration experiments, and is hoping developers will use the marketplace to license their data science work.

I will reinforce a consistent message in the book: more training leads to better results. It is true that you can get started in minutes, but you can also do many other things in minutes like learn to drive or cook. To become proficient, and especially in a competitive data science scenario (commercial companies competing for business) your team will need more training. It’s one thing to drive or cook non-competitively, and another thing to compete for million-dollar driving or cooking contracts. The book has many links throughout all chapters encouraging further study.

This first version purchase review is based on the alpha pre-publication edition. I will revise this review once a final book is available. I have some pre-publication errata (none of which devalues the substantial contribution of this book):
* The book talks about the “telecommunication industry” but that expression is usually “telecommunications (plural)”
* The book claims that Microsoft Azure Machine learning uses R version 4.1.0, but R is at version 3: they mean 3.1.0 — that version reflects at present, and AzureML will be continuously updated.

My Background:
I am a consultant focusing on data science: I help non-profit and for-profit companies establish best-in-practice commercial-grade enterprise technologies for advanced analytics. For years, I have been part of the Microsoft MVP program. Along with dozens of others, I participated in the beta development of Microsoft Azure Machine Learning. Also, I developed a personal relationship with especially two of the book’s authors, Roger Barga and Val Fontama (though I had already been friends with all three on Linked In). I have been to Microsoft Seattle to have training on this technology, and have presented this technology for several PASS user group meetings. I have doctoral training in this area, and have taught undergraduate and graduate level statistics, and contributed to peer-reviewed research. I provide data science training, blog on data science, and have free presentations (including AzureML) posted on Slideshare and YouTube. I have written on machine learning for Gigaom. I have used many technologies professionally including SAS, SPSS, open source, and Microsoft. I connect with people on Linked In and Twitter @marktabnet.

I will be posting an even more detailed free series of chapter-by-chapter commentary to my blog: though, that longer technical commentary will only be valuable if you have the book, and have an active Azure account.

4 of 5 people found the following review helpful.
Physically unreadable
By Robert Levy
Update 2: Apress acknowledged the problem and has done a 2nd printing of the book. I just received an updated copy from them and am pleased to report that the images & screenshots are greatly improved. Hopefully this is the version that future Amazon shoppers will receive. I look forward to now returning to this book to explore it's content and learning about the Azure ML offering. While waiting for the second printing, the authors kindly provided a kindle copy of the book which is ok for reading on the desktop/web kindle reader but the formatting does not work well on paperwhite kindles (though that's not unusual for technical books like this)

Update 1: I contacted Apress to point out this problem (clearly nobody their bothered flipping through the pages before shipping these off to Amazon & other stores). I was expecting something like "oh wow we'll look into how this problem slipped through the cracks of our editorial process, here's a copy of the ebook in the meantime." but instead they simply said that I am welcome to return the book back to Amazon. Dropping my review to 1-star as a warning for future buyers... I hate to do that because the actual content is probably pretty decent and this problem isn't the fault of the novice authors but folks should be warned that the paperback is full of images containing important text you can't actually read.

Just got this paperback version of this. Haven't read it yet but I excitedly flipped through the pages as soon as it arrived. It has lots of screenshots of the Azure ML tools and other diagrams which is great. Not so great is that these images are tiny, have tiny font, and that font is usually a pixelated light grey on top of a slightly lighter grey background, making them generally unreadable and useless. I might still try to read the book without the benefit of the screenshots and update this review to reflect that - but we're not off to a good start. I would have expected the Apress editors to catch this glaring issue (especially given that they specialize in software). If you are interested in this book, the ebook version *may* (I'm not sure) not have been crippled by the low-fidelity image printing.

2 of 2 people found the following review helpful.
This is an excellent book to get you started with using cloud-based machine ...
By John Salch
This is an excellent book to get you started with using cloud-based machine learning. The book approaches the problem with an overview of how machine learning can be used by businesses, and walks the reader through examples that can be followed in the Azure Machine Learning preview. The preview can be found here: http://azure.microsoft.com/en-us/services/machine-learning/

The preview is free, and the reader is able to build their own real-world machine learning experiments!

This is a game-changing technology and the book does a great job of making it approachable to a variety of audiences, from executive to software developer.

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