Praise. “[Steiner] excels in bringing a dry subject to life.” —Financial Times “As readers follow Steiner in his whirlwind tour of algorithm applications, they will. Christopher Steiner. Automate This automate this how algorithms came to rule our world pdf,free book automate,book this,pdf how,download. Ebook Pdf Automate This How Algorithms Came To Rule Our World By Christopher. Steiner Sep 4 contains important information and a.
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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. Automate This: How Algorithms Came to Rule Our World. Home · Automate This: How Algorithms Came to Rule Our World Author: Christopher Steiner. 6 days ago Automate This How Algorithms Came To Rule Our World Christopher Steiner [ PDF] Steiner begins his study of algorithms on Wall Street.
If you are a seller for this product, would you like to suggest updates through seller support? View 2 comments. Nevertheless, it's an entertaining read. Amazon Rapids Fun stories for kids on the go. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Finally, the book leaves the reader wanting for hard information about how modern algorithm development works and treats them as a black box. It makes each incremental advancement in automation out to be the apocalypse.
All in all, it's a fun book especially if you are relatively new to this topic. Oct 04, Fee rated it it was amazing. This was an excellent book of explaining how our modern world is perishing with ways to become rich, as computers and programming are taking our jobs.
It starts off explaining the life of Petterfy who was ahead of his time with knowing computers and programming before it was known by only the biggest businesses in the sixties.
It wasn't till later that he showed the stock market that you did not have to be there to control it. The book continued with explaining other cool examples. Beatles Algor This was an excellent book of explaining how our modern world is perishing with ways to become rich, as computers and programming are taking our jobs.
Beatles Algorithm: Person could tell from first few cords if song was written by John or Paul. Online dating algorithm explains the real odds is once the relationship starts, not how you meet or what you have in common.
Hammerbacher was last character mentioned, went to school as an English major and changed to Math at Harvard, needed to be stimulated with the top information as he was hired by sucker berg during early developments of facebook, but got bored. He even talks about baseball and its algoritms, but I can leave that to you to read. Great read. Anything is better than Infinite Jest and talking about canadians, bostonians, and tennis all day. Feb 18, Jim rated it really liked it Shelves: Really thought-provoking book about how mathematical algorithms, coupled with any given current technology at a time in history, has led to massive efficiencies and gains - starting with the algorithm's pioneer s and eventually spreading to everyone.
The key areas the author focuses on: Wall Street and Finance, Hollywood, the music industry, customer service call centers, and of course social media. The author also devotes a small chunk of the book to giving credit to key mathematicians through Really thought-provoking book about how mathematical algorithms, coupled with any given current technology at a time in history, has led to massive efficiencies and gains - starting with the algorithm's pioneer s and eventually spreading to everyone.
Although the material is hardly "light reading", the author does a very good job of conveying heavy mathematical and technological concepts through examples, and also by way of leaving out unnecessary, confusing details that only small groups of people would even begin to understand. May 05, Rohan rated it liked it. This is a much better book than I had originally expected it would be. Although it is not technical at all, the Author did manage to present the brief history behind algorithms and its various applications in our daily life in an engaging manner.
I really liked parts of the book where Author mentions how Algorithms have come to play an important role for Wall Street and people who have worked for them. There are lot of interesting people mentioned in the book - Thomas Peterffy, Nathan Mayer Roth This is a much better book than I had originally expected it would be. Perhaps the major drawback of the book as has been pointed here by multiple reviewers is the lack of in-depth analysis of various problems for which we depend on Algorithms now.
Other than that, I think this is a good one time read. This is an enjoyable read about algorithms. Pause to allow that sentence to settle. Another Goodreds reviewer wrote that it is "more an extended magazine article than a book" and I think that captures the style and weight of the piece perfectly. It's a light read that doesn't really get into what an algorithm is, but it does chart the impact of bots or automated decision trees on a number of industries.
It is almost exclusively composed of hype, but it is a palatable kind of hype that is easy t This is an enjoyable read about algorithms. It is almost exclusively composed of hype, but it is a palatable kind of hype that is easy to digest.
As long as this book is accompanied by a more technical documents to support it, it can be informative. Without an introduction to coding, or other hands-on work with algorithm creation, however, it is a mostly empty fluff piece. May 28, Peter Mcloughlin rated it really liked it Shelves: Fairly good book on why programmers and algorithms are taking over the world. First on wall street soon your job. If you think you are too creative to be replaced think again some algorithms are doing things once reserved for songwriters by writing original tunes.
Fairly interesting story. Goes well with folks who worry about the singularity and robot takeovers. Jul 11, Joris rated it really liked it. Automate this is an insight in how much algorithms influence your life and how they've gotten there.
I read the book because I got interested in algorithms through several wall street books, where those books focus on recent events till present , "Automate This" shows you the major players in its history and shows areas where they're being used which I wasn't aware. May 13, Thom rated it liked it Shelves: The author notes how Wall Street brought algorithms into the mainstream, how when Wall Street crashed that other fields had a sudden influx of quantitative talent, and how algorithms will soon take over everything.
Put another way, many lovely anecdotes and much good information, but the history is all quite recent and somehow connected to Wall Street. Nov 29, Edwin rated it really liked it Shelves: It is actually more around pages, because it had a long thank you at the end, which I skipped. It also has an extensive references list at the end, so that is very nice if you want to read more on each of the subjects that are being written about.
I wish I'd read this last year - there were a bunch of interesting ideas that I could have used when I was with the SSG!
Too late now Aug 23, Katia Borschov rated it really liked it. This is truly an eye-opener. As a non-techie, I knew about automation but I was lost on the details. Aug 30, Siddharth Singhal rated it really liked it. Just received my pre-order: View 2 comments. Jul 25, Kevin rated it really liked it.
A lot of motherhood and apple pie for anyone who follows the state of the art in computer learning and decision making. Lot's of great anecdotes and history, though. Sep 02, Joe rated it it was amazing. Selected quotes Access to technology now comes easily.
Here algorithms comb the data, read the market, and issue an order that is no longer carried out by humans but by another machine And data, as so many hot companies of today have demonstrated, can be the difference between domination of an industry and failure. These stories would be incomprehensible to a human, but make perfect sense to a bot. The calculus and the algorithm are the two leading ideas of Western science.
If they weren't able to run through complex tasks in fractions of a second, they wouldn't be the revolutionizing force they've become. Speed is largely determined by one thing: Watson ran so hot that it required two refrigeration units to cool its ten server racks It was a complicated game theory algorithm that had predicted the Soviet Union would crumble exactly as it had, sparked by an anti-Gorbachev coup that would ultimately fail. Everything the hospital does is charted, analyzed, and reported so it can later be examined by an algorithm It listens to your talk, assesses your personality type Running through 1.
The algorithm even knows what piece of the game is the best candidate to use as the 'lede. Dec 11, Roy Wang rated it really liked it Shelves: The book presents a riveting glimpse into some of the stories behind how algorithms and bots have been transforming all sorts of industries as well as the corollary effects on our daily lives over the past few decades. The transformation began in the hyper-competitive world of algorithmic trading on Wall Street where even a miniscule speed advantage in reliably detecting market anomalies can make fortunes, but soon spread to other fields that could also benefit from extraordinary pattern-spottin The book presents a riveting glimpse into some of the stories behind how algorithms and bots have been transforming all sorts of industries as well as the corollary effects on our daily lives over the past few decades.
The transformation began in the hyper-competitive world of algorithmic trading on Wall Street where even a miniscule speed advantage in reliably detecting market anomalies can make fortunes, but soon spread to other fields that could also benefit from extraordinary pattern-spotting like music recordings, film production, horse racing, talent scouting in professional sports, online dating, chess competition, geopolitical risk management, medical diagnosis, and so on.
Several years after the book's publication, AI and machine learning are now among the hottest tech buzzwords, already predicted by numerous industry experts to eliminate a large chunk of human jobs in the next decades. As the book suggests, there's no stopping sophisticated algorithms and bots from get better and better at taking the human element out of almost everything we do, leaving readers pondering the far-reaching, sociologically significant implications of having a group of data-crunching engineers and computer hackers shaping various aspects of our lives.
Jul 04, B rated it really liked it Shelves: As other reviewers have noted, this book did indeed read like an extended magazine article and focused a bit too much on Wall Street, at least given what was advertised. Now, that being said, it was still an informative, well-written book. It should have been subtitled something like "From Wall Street to Silicon Valley" because that's more along the lines of its actual subject. The chapters on algorithms in music and medicine seemed like detours from the main story.
However, I do appreciate the As other reviewers have noted, this book did indeed read like an extended magazine article and focused a bit too much on Wall Street, at least given what was advertised. However, I do appreciate the author's main insight - algorithms first broke onto the scene in finance. Had they not demonstrated their ability here, they may never have moved on to revolutionize other areas.
The shift from Wall Street to Silicon Valley has coincided with algorithms impacting much more than just trading stocks. Ultimately, my opinion is that though this will cause some growing pains for the human race as a whole, the emergence of algorithms will probably lead to a better future for humanity.
Jul 26, Philip Relander rated it liked it Shelves: This review has been hidden because it contains spoilers.
To view it, click here. Well, I have mixed feelings about this book: The good was about the nice stories around algos and the computer science's history. Learned some new things as well regarding algos and financial services. On the other hand, there is a larger theme in the end of the book and the book starts paint a picture against financial services vs. Doesnt go deep enough in Facebook critique vs financial services critique Also, algos are positive and they are wonderful.
Too much case story hype Well, I have mixed feelings about this book: Too much case story hype. Would like to see more balanced treatment on the topic. Author touched upon it but didnt go deep. On the other hand, easy to read and rather short. Would recommend to read but dont wait for wonders.
Must read for today's marketers I kept hearing this book referenced as a must-read look at the history of machine learning and AI. That algorithms can do routinized tasks we already know. We are discovering that creativity entails more routines than we was expecting.
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. There is, in the background, a hard epistemological question: 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. Hardcover Verified Purchase. 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. 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. 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. 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.
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. One person found this helpful. See all reviews. Customers who viewed this item also viewed. The Signal and the Noise: Nate Silver. Thomas H Cormen. Doing Data Science: Straight Talk from the Frontline.
Cathy O'Neil. Data Structures and Algorithms Made Easy: Narasimha Karumanchi. There's a problem loading this menu right now. They listen in on customer service calls and figure out what Iran would do in the event of a nuclear standoff. On Wall Street, pre-programmed algorithmic deals are executed by machines faster than any human could—leaving human investors at a severe disadvantage.
But what will the world look like when algorithms control our hospitals, our roads, and our national security? And what role will be left for doctors, lawyers, writers, truck drivers, and many others? It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two.
These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. But that was just the beginning. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin.
Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security?
He holds an engineering degree from the University of… More about Christopher Steiner.