Automate This: How Algorithms Came to Rule Our World
| Author | : | |
| Rating | : | 4.45 (731 Votes) |
| Asin | : | B0099S88JY |
| Format Type | : | |
| Number of Pages | : | 571 Pages |
| Publish Date | : | 2016-09-20 |
| Language | : | English |
DESCRIPTION:
They listen in on our 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? Who knows - maybe there's a bot learning to do your job right this minute.. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. But that was just the beginning. In this fascinating, frightening audiobook, Christopher 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, often silently, without our knowledge. The May 2010 "Flash Crash" exposed Wall Street's reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. These "bots" started with human programming and logic, but now their reach extends beyond what their creators ever expected. In Automate This, we meet bots that drive cars, pen haikus, and write music mistaken for Bach's. The rousing story of the last gasp of human agency and how today's best and brightest minds are endeavoring to put an end to it. There are algorithms that can pick out the most cohesive crew of astr
Cursory and insubstantial 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 a. "Stories and business applications of machine learning" according to Sandro Saitta. 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 . Sensational S P 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 incrementa