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Automate This: How Algorithms Came to Rule Our World (Englisch) Gebundene Ausgabe – 30. August 2012

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“[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

Über den Autor und weitere Mitwirkende

Christopher Steiner is the cofounder and co-CEO of Aisle50, a Y Combinator start-up offering online grocery deals. An engineer, Steiner was pre­viously a technology staff writer at Forbes and the Chicago Tribune. He is also the author of $20 per Gallon, a national bestseller. He lives in Evanston, Illinois, with his wife, Sarah, and their children.


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Format: Gebundene Ausgabe Verifizierter Kauf
Steiner hat interessante Gesprächspartner an Land gezogen, die wirklich etwas zu erzählen haben, wie Thomas Peterffy, Pionier automatisierter Handelssysteme und Gründer von Interactive Brokers; McCready, ein Musiker, der einen Algorithmus entwickelt hat, der potentielle Chart-Hits identifizieren kann, und einem Song eines anderen Musikers Namens Ben Novak tatsächlich zu kommerziellem Erfolg verholfen hat; David Cope, dessen Programme Kompositionen im Stil von - je nach Wunsch - Bach, Mozart, Rachmaninoff usw. schreiben können und dabei von den Orginalen selbst von Experten kaum zu unterscheiden sind ( Virtual Music: Computer Synthesis of Musical Style ); Bueno de Mesquita, der mit spieltheoretischen Modellen politische Entwicklungen vorhersagt
( The Predictioneer's Game: Using the Logic of Brazen Self-Interest to See and Shape the Future ) und einige mehr, die von auomatischer psychologischer Persönlichkeitsklassifikation, Hochleistungsglasfaserkabeln, computergestützter medizinischer Diagnostik, Datenverarbeitung bei Facebook usw. erzählen.

Obwohl ich solche Themen auch sonst verfolge, war doch einiges für mich neu und spannend. Schwach ist nur das Kapitel über die geschichtliche Entwicklung von Algorithmen. Der Autor hat pflichtbewusst ein paar Bücher gelesen und rattert bekannte Mathematiker wie Gauss und Euler herunter, mehrfach mit dem undifferenzierten Verweis, daß mit deren Erkenntnissen heutzutage Millionen an der Wall Street verdient werden.
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Kommentar 5 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Format: Gebundene Ausgabe Verifizierter Kauf
As a reader of several tech blogs I thought I would be up to date to what is happening in the tech world. Indeed I was not. The reason is simple. Tech blogs are extended arm of marketing departments - other developments are kept almost secret.
In "Automate this - How algorithms came to rule our world" Steiner managed to interview some of the hidden masterminds - even of companies operating mostly in stealth mode. A creator of an algorithm turning his "child" into a cashcow has no need to tell the world about it! Steiner tells diverse success stories where algorithms really start "to rule the world". Every aspect of life is indeed affected - and any job: lawyers, doctors, psychiatrists, salesmen, journalists, artists, truck drivers, financial businessmen and many other. Steiner brilliantly brings light into the fight for talents between Wall Street and other tech companies. The chapter about psychologic analysis of humans by algorithms was to me the most fascinating. The astounding findings of Kahler and Capers are in Germany nearly unknown and not present in university lectures.

This is a book any person with base knowledge of information technology should read. It covers even the latest developments until end of 2011. Psychologists should as well read "The Process Therapy Model - The Six Personality Types With Adaptations" of Dr. Taibi Kahler directly - available via US-version of amazon.
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Joe Pulizzi, the founder of Content Marketing Institute, mentioned this book in his podcast, "Content Inc." I'm very glad he did. Being a Swiss journalist turned PR writer then content marketer I'm no techie at all.

I do have a vague idea though of how lines of code are taking over important tasks in my world: the Google search engine and algorithms of Amazon or of networks like Linkedin are probably the most important ones affecting my life already, today. Marketing automation is becoming a thing in my industry and as a teacher on writing better copy I've been asking myself how long it might take until machines will take over the writing work anyway – and what part of the process might remain with us, humans.

This book seems "old" (2012) measured by the speed of of current tech developments. But it was a great read for me. Christopher Steiner masterfully made it easy for me to follow along and I love his insights, examples and little stories.

The book has opened up my world quite a bit bringing me a) better understanding, b) less fear of not understanding what the term algorithms stands for, c) an interest in becoming part of the development of this big data industry (I suffer no shortage of ideas). And d) it adds to the strategic thinking for my own business.

Some ideas that I had died a sudden death during the reading of this book because one thing has become very clear to me now: At least in the services industry, work with data and do it the smart way or better don't even call yourself a business person.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta) (Kann Kundenrezensionen aus dem "Early Reviewer Rewards"-Programm beinhalten)

Amazon.com: 4.3 von 5 Sternen 139 Rezensionen
11 von 11 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Cursory and insubstantial 2. August 2016
Von Anonymous - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
The author spends a few pages talking about mathematical history, so the traditional quote from Abel seems appropriate: "Learn from the masters not their pupils". By that metric, you shouldn't read this book. It's written by a journalist who has a tenuous grasp on the subject and I don't think it's likely to advance anyone's understanding. An intro book about machine learning, which is the common thread of his anecdotes, would be a wise alternative.

It's also highly offensive that he wrote a 200 page fluffy text on the vast subject of machine learning and put icing on the cake by peppering it with advertisements for companies that he's affiliated with. At the start of chapter 2 he says "all one needs to do is head to Y Combinator's Hackers News message board, which has grown into one of the more infuential Web sites in the world". Not only is this completely false, he received a grant from Y Combinator for his start up, which we know because he included similarly transparent advertisements earlier in the book. Are you kidding me?

It shouldn't come as a huge surprise that someone who wrote a book called "$20/gal..." is more interesting in attracting attention than conveying information. But skip this one. There's no reason to encourage authors to write cash-grab drivel like this.
5.0 von 5 Sternen Stories and business applications of machine learning 21. Mai 2017
Von Sandro Saitta - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
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.
8 von 8 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Sensational 2. Februar 2013
Von S P - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
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.
1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen As great as the historical elements are 5. März 2016
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
True to its sub-title, Automate This is chock full of history about how technology has been changed forever by the development and progressive innovation of algorithms. From the Wall Street collapse of 2008 to the composition of classical, composer inspired music with only a computer’s software program, Steiner reveals throughout the book how algorithms have turned industries on their head yet are still capable of so much more than we are ready to accept. As great as the historical elements are, be forewarned that the book is much more focused on how the industry got to where it was in 2013 than about where the industry is going from 2016 and beyond. For the reader who already knows a bit about Watson, the IBM super computer, or has read the book or seen the movie Moneyball about how baseball recruiting is far more accurate through algorithm than scout, this book might not provide enough new anecdotes or present as much predictive flair as the savvy reader would enjoy.
For the algorithm novice, Steiner gives us hope when he explains why Wall Street was altered by quants who are no longer (thankfully) flocking to that field, and so hopefully they will be able to focus instead on music production, Top 40 hit generation, baseball recruiting, professional level poker playing, medical diagnostics, human psychology, customer experience, and other many areas, which show how much our world can now be dictated by the sophisticated algorithms developed over the last fifty years. In some places, the book reads as a cautionary tale for the college student or young professional looking to find an industry that will continue to grow with human capital instead of machines (hint, it is not medical diagnostics). It also shares success stories, which might point a more experienced algorithm researcher to a unique company or individual expert that have advanced missions in automated computing.
Overall the book is written without too much technical jargon, and it has an easy ready style. At times, it has painstakingly long chapters and it does not often rely on humor to entertain. But for someone looking to learn about the algorithmic transformation of our technological world and gain a sense for how that will only continue to spread, I would recommend Steiner’s book.
2 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Algorithms threaten humans 9. Dezember 2014
Von Pedro Demo - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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.
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