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The Numerati
PDF Download The Numerati
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Audible Audiobook
Listening Length: 7 hours and 53 minutes
Program Type: Audiobook
Version: Unabridged
Publisher: Blackstone Audio, Inc.
Audible.com Release Date: September 24, 2008
Whispersync for Voice: Ready
Language: English
ASIN: B001GPJW8Y
Amazon Best Sellers Rank:
I am a Data Miner and a Data Mining software trainer. I really enjoyed this book. My audience is not made of full time data miners (usually), but rather data analysts who are new to data mining. They are not experts who develop their own technologies, but rather are purchasers of software who use the software to Mine data with the most established of the techniques. They report to managers, and have co-workers, that are also new to data mining, curious about what it is, anxious to clarify its definition, wondering about possible application areas, working to effect the bottom line.I disagree with those reviewers that suggest that Baker does not understand the methods. He tries very hard at explaining them to a general audience. I have tried to do the same, and he does an admirable job. I would be less than candid, if I didn't admit that I winced once or twice. But it is tough to strike the right balance.I think he has does a brilliant job at choosing a structure of his book. His chapters are not structured to be on the different methods. One negative review claims that he `mentions' Support Vector Machines, but never mentions cluster analysis. It is simply not true. The "Voters" chapter is dedicated almost in its entirely to cluster analysis and market segmentation. I have taught this topic to thousands of software users, and I think it is a great chapter. He avoids technical jargon including the names of the methods because he audience is not me. His audience is everyone who does not do data mining, but is potentially effected by it, curious about it. So, if you want a chapter on how Support Vector Machines work, one can barely imagine a less appropriate choice. If you want a gentle introduction to many techniques like Neural Nets and Classification Trees go with Berry and Linoff's Data Mining Techniques. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management For an advanced discussion, many of the negative reviews have additional suggestions. I give LaRose's trilogy mixed reviews, but you can consider them. Discovering Knowledge in Data: An Introduction to Data Mining is the first.Instead, and wisely, he structures his book as a handful of chapters on application areas. Each chapter involves interviews with experts, the Numerati of the title. There is usually one primary lead character in each chapter. Does he `gush'? Is he informal? A little perhaps, perhaps more than I would have liked. I like my Data Mining books technical, succinct, algorithm based, and cooly academic in style. But does a general audience want that? I like my astronomy books to be gentle on me. I like my physics books to be gentle on me. Why wouldn't a non-data miner want a gentle introduction?As one critic noted, he does "insert himself into the narrative". He chats about the room in which he is interviewing. He mentioned Starbucks, and the physical description of his subjects. Some would leave that to Dickens and leave it out of this book. I might have cut back on that a bit, but incompetent? No. Not by a long shot. This is a great non-technical introduction to an important societal trend. I actually learned a fair amount. For instance, the concept of `next friend' and its use in social networks was new to me. I have also ranked this book higher than "Supercrunchers". Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart I believe the author of that book, while a fine analyst, just doesn't get it when it comes to Data Mining and where it is taking us. Davenport's book Competing on Analytics: The New Science of Winning, reads too much like Harvard Business Review for a general audience, and it's kinda dry. Baker's book, in contrast, nails it. I recognized my future in his book. Read it, and you will understand what Data Mining is attempting to do, and the challenges it faces.
Whether you are a shopper, a voter or a blogger, you will find a chapter in The Numerati that will be of interest to you. Stephen Baker has done an excellent job in explaining what companies can do with their data. For getting knowledge from these data, companies use mathematicians and computer scientists (what Baker calls the numerati).Baker takes us in a journey divided in seven parts (chapters). Each of this parts explain the possible application of data mining in a specific area. The journey is passionate and thus very interesting to read. The main point of his book is the ability of companies to build our behavior by mining personal data in various domains. As he explains, this would be impractical manually:"This means that marketers must scope us out as individuals. One approach would be to deploy battalions of psychology [...] That's impractical."The main question for companies that collect data about us is what do we do, that might predict what we will do next? The book gives answers with practical examples.By the way, Baker makes a very good vulgarization of decision trees on page 88. The author also makes a good point about data mining by stating that the aim is not to be perfect, but to do better:"Truth is not a make-or-brake test for the Numerati. They triumph if they come up with better, quicker or cheaper answers than the status quo."To conclude, this is a very good book that any data miner should read to get a tour of possible applications. Maybe Baker goes a bit too far on what data mining can do (spy you) and this may frighten people:"In the age we're entering, our lives will be described, studied, and predicted, every day more, through this statistical analysis."
It was such an interesting book I had to read it more than once. I use it as a reference and also have given it as a gift to several of my clients. I follow Mr. Baker and read his blog [...] and periodic Business Week Articles, I believe his approach at simplifying very complex terms and technologies for the understanding of many readers without losing the essence of what is happening is an admirable talent you can clearly see in this book.I was originally attracted to the book after reading an Article on How consultants where being gauged for performance and overall business value by creating software that would include many factors of each individual consultant and giving them a specific ranking or value. Being a consultant myself and having worked for Big Four Consulting Firm in its Planning Management Office assisting in the placement of resources on multiples projects this was a subject very appealing to me.I was captivated by all the new emerging technologies that are being created to improve our lifestyle and to enhance existing technologies. I think it is a great gift for any client who wants to stay up to date on what technologies are appearing regardless of industry.
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