Kostenlos Best Automate This: How Algorithms Took Over Our Markets, Our Jobs, and the World – Carcier.co

In Automate This, Christopher Steiner Looks At How The Rise Of Computerized Decision Making Affects Every Aspect Of Business And Daily LifeThese Days, High Level Tasks Such As Diagnosing An Illness Or Interpreting Legal Documents Are Increasingly Being Handled By Algorithms That Can Do Precise Work With Speed And Nuance These Bots Started On Wall Street, But Now Their Reach Has Spread Beyond Anything Their Original Creators Expected In This Fascinating Book, Steiner Tells The Story Of How Algorithms Took Over And Shows Why The Bot Revolution Is About To Spill Into Every Aspect Of Our Lives We Meet Bots That Are Driving Cars, Penning Haikus, And Writing Music Mistaken For Bach S They Listen In On Customer Service Calls And Figure Out What Iran Would Do In The Event Of A Nuclear Standoff But What Will The World Look Like When Algorithms Control Our Hospitals, Our Roads, Our Culture, And Our National Security What Happens To Businesses When We Automate Judgment And Eliminate Human Instinct And What Role Will Be Left For Doctors, Lawyers, Writers, Truck Drivers, And Many Others

8 thoughts on “Automate This: How Algorithms Took Over Our Markets, Our Jobs, and the World

  1. E. Rau E. Rau says:

    Steiner hat interessante Gespr chspartner an Land gezogen, die wirklich etwas zu erz hlen haben, wie Thomas Peterffy, Pionier automatisierter Handelssysteme und Gr nder 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 tats chlich zu kommerziellem Erfolg verholfen hat David Cope, dessen Programme Kompositionen im Stil von je nach Wunsch Bach, Mozart, Rachmaninoff usw schreiben k nnen 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 Pers nlichkeitsklassifikation, Hochleistungsglasfaserkabeln, computergest tzter medizinischer Diagnostik, Datenverarbeitung bei Facebook usw erz hlen.Obwohl ich solche Themen auch sonst verfolge, war doch einiges f r mich neu und spannend Schwach ist nur das Kapitel ber die geschichtliche Entwicklung von Algorithmen Der Autor hat pflichtbewusst ein paar B cher gelesen und rattert bekannte Mathematiker wie Gauss und Euler herunter, mehrfach mit dem undifferenzierten Verweis, da mit deren Erkenntnissen heutzutage Millionen an der Wall Street verdient werden Gest rt hat mich au erdem der teilweise reisserische journalistische Schreibstil, wobei das vermutlich von Verlegern gefordert wird Kleinere Ungenauigkeiten lassen sich auch finden, z.B wird Black Scholes als Algorithmus bezeichnet, und H ndel und Haydn trotz 50 Jahre Altersunterschied als Zeitgenossen.

  2. Evaldez Evaldez says:

    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 .

  3. Promoganda Promoganda says:

    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 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.

  4. Sandro Saitta Sandro Saitta says:

    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.

  5. Pedro Demo Pedro Demo says:

    Algorithms are controlling us and That algorithms can do routinized tasks we already know Now they can produce and play a symphony la Beethoven We are discovering that creativity entails 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 programmable than we think Very nice book.

  6. Robert Ropars Robert Ropars says:

    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 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.

  7. S P S P says:

    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 meaningful approach to this subject matter, decided to dramatize it as if to catch our attention Duly noted, and poorly received.

  8. William William says:

    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 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.