PDF Ebook Automate This: How Algorithms Came to Rule Our World, by Christopher Steiner
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Automate This: How Algorithms Came to Rule Our World, by Christopher Steiner
PDF Ebook Automate This: How Algorithms Came to Rule Our World, by Christopher Steiner
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From Booklist
The Arab Spring of 2011 did not surprise analyst Bueno de Mesquita, who in May 2010 predicted that Egyptian strongman Hosni Mubarak would fall within a year—basing his prediction on the workings of an algorithm. As readers follow Steiner in his whirlwind tour of algorithm applications, they will marvel at the versatility of a mathematical tool understood only by a small circle of experts. Readers peer over the experts’ shoulders long enough to trace the decision-tree logic of an individual algorithm and to follow the cascading dynamics of the linked algorithms that drive the “bots†now handling everything from putting astronauts into space to matching compatible personalities venturing into the dating scene. Steiner acknowledges that a world reliant on bots must cope with new challenges—flash crashes on Wall Street, unemployment among accountants, dangerously powerful technocrats. Still, Steiner remains hopeful that resourceful computer whizzes will weave algorithms that will enrich and safeguard our future. An accessible foray into computer programming that has become a hidden but pervasive presence. --Bryce Christensen
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Review
“[Steiner] excels in bringing a dry subject to life.”—Financial Times"As readers follow Steiner in his whirlwind tour of algorithm applications, they will marvel at the versatility of a mathematical tool understood only by a small circle of experts. Readers peer over the experts’ shoulders long enough to trace the decision-tree logic of an individual algorithm and to follow the cascading dynamics of the linked algorithms that drive the “bots” now handling everything from putting astronauts into space to matching compatible personalities venturing into the dating scene…. An accessible foray into computer programming that has become a hidden but pervasive presence."—Bryce Christensen, Booklist“Algorithms are affecting every field of human endeavor, from markets to medicine, poker to pop music. Read this book if you want to understand the most powerful force shaping the world today and tomorrow.”—Andrew McAfee, principal research scientist, MIT; coauthor of Race Against the Machine“Christopher Steiner knows how to find terrific stories and tell them well. He has written a lively narrative with humans at its center. To be sure, its subject is important, but the book is also fun.”—Randall Stross, author of Planet Google and The Launch Pad
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Product details
Hardcover: 256 pages
Publisher: Portfolio (August 30, 2012)
Language: English
ISBN-10: 1591844924
ISBN-13: 978-1591844921
Product Dimensions:
6.5 x 1 x 9.8 inches
Shipping Weight: 15.2 ounces (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
142 customer reviews
Amazon Best Sellers Rank:
#667,097 in Books (See Top 100 in Books)
Automate This is a journey into the world of anything that can be automated, from stock picking to medical diagnosis. The author, Christopher Steiner, excels in telling stories and bringing interesting anecdotes to the reader. Although focused on the trading world, the book explores topics such as automated music creation, geopolitical analysis and poker playing.Automate This is about the stories and business applications of machine learning. It’s a pleasant reading for both people in the field and others. Practitioners will find interesting applications of machine learning, although without any technical details. People outside of the field will get a feeling of what can be done with data mining algorithms.Out of the second chapter, about the history of man and algorithms, I found the book really enjoying. Steiner’s book is also telling the story of Quants moving from the finance industry to the Silicon Valley. In summary, Automate This is an excellent book about machine learning, without mentioning it (the author uses the word “automated†for machine learning). Highly advised to anyone interested in knowing how machine learning is changing our world.
I kept hearing this book referenced as a must-read look at the history of machine learning and AI. It is. The author shows the evolution of AI and machine learning more specifically industry by industry. It is a wake up call and call-to-arms not to fear the change which is at any rate happening and inevitable, but embrace reality to succeed in this brave new world. One word: algorithms. I loved everything framed along an historical framework being a history enthusiast. But as an artist and working in digital marketing strategy I truly appreciated this book's message and level-setting the background of everything I'm experiencing personally and professionally.Artist or marketer or strategist = must-read.
Algorithms are controlling us more and more. That algorithms can do routinized tasks we already know. Now they can produce and play a symphony à la Beethoven. We are discovering that creativity entails more routines than we was expecting. In fact, all dynamics, however complex and non-linear, have linear dimensions – this is the entry for methodic formalizations. We can do that in positivist mood, reducing complexity to invariant formulae. But we can do that as methodological ability to understand a complex phenomenon by its linear approaches. It’s vey impressing that a computer can easily beat chess champions, do good music, standardize human behavior etc. There is, in the background, a hard epistemological question: the mental tendency to approach complex problems by ordering them theoretically (in logical-experimental format) (we only understand what is ordered, logic, measurable), is it a necessity, an ability, or a defect? Do we understand variation only when we discover how variation invariably varies? Algorithms may suggest it. We are more programmable than we think! Very nice book.
I really enjoy the aim of this book -- to explain how algorithms play such an important role in different areas of our lives. Case studies help add context to what might otherwise be an abstract mathematical musing. But I find the average Joe-oriented approach to come with unintended consequences. The writing is simply hyperbolic. It makes each incremental advancement in automation out to be the apocalypse. Options traders are using options -- well let's pack up and call it a day! Euler started mathematics from a young age -- what a genius! What a remarkable young mind!!The author, lacking a more meaningful approach to this subject matter, decided to dramatize it as if to catch our attention. Duly noted, and poorly received.
If you don't know what an algorithm is and are afraid to ask, you should read Christopher Steiner's book `Automate This', which answers the question in terms that are easy to understand. An algorithm is a specific set of instructions for a computer or a machine to carry out. Steiner shows that algorithms are ubiquitous, and they are behind things you wouldn't expect, like the music you listen to, the prescription medicines you take, even the games you play. Algorithms are playing increasingly large roles in our lives, and it's interesting to know how these mathematical models are being applied to everyday tasks and how they might shape our future.The book opens with the story of Thomas Peterffy, one of the first people to get rich using algorithms. He is one of the major innovators in automated trading, developing algorithms that compare security factors and issue buy and sell orders whenever the market is right. This system is much more efficient than using traders in the pit, sidestepping the human element and performing Peterffy's trades at the speed of light. In 1987, Peterffy directly connected the NASDAQ terminal to his trading computer. This scheme was perfect until the FTC (Federal Trade Commission) shut down the operation, insisting that he couldn't tap directly into the NASDAQ cable, because it gave him an unfair advantage over human traders. Not wanting to lose millions of dollars, Peterffy wasted no time in making a machine that could read prices off the NASDAQ terminal using a camera, and type in orders via a machine that physically typed out commands on a keyboard. Because this technology was so new, there wasn't any way that the FTC could insist on having to get a human to type out commands.Steiner shows how Algorithms are being used to write prescriptions to overcome the limitations of human doctors. These prescriptions will be handled by IBM's `Watson', a computer famous for beating Jeopardy! champion Ken Jennings. Watson now has algorithms that can `read' your expressions and determine what a patient is trying to say. By overcoming bias and easy answers, Watson can find out if a patient has a rare disease that human doctors would not normally detect.In another example, Steiner explains how Jason Brown, a guitar-playing mathematician, used algorithms and audio equipment to figure out the exact notes of the opening chord to the Beatles' "A Hard Day's Night." Until a few years ago, nobody had ever been able to figure out exactly what notes lead guitarist George Harrison was playing. Brown discovered that the recording was actually a combination of notes played simultaneously by Harrison and John Lennon on guitar, and George Martin on the piano. Now, Pandora and other music recommendation sites use the same kind of algorithms to figure out what kind of music you're likely to listen to.The information is presented in lay terms for anybody interested in data and programming, and Steiner presents entertaining and inspiring anecdotes that build the background for the algorithms. Steiner's optimism about the future of us and algorithms along with his concise explanations make the book very enjoyable to read and easy to understand. `Automate This' does a great job of explaining the uses and possible innovations for algorithms, from Wall Street to music to social media.
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