The Formula: How Algorithms Solve All Our Problems-And Create More

The Formula: How Algorithms Solve All Our Problems-And Create More - Luke Dormehl Algorithms are a systematic set of rules for handling complex processes often using a recursive methodology (the routine calls itself). The author doesn't really define algorithm this way but he mostly appeals to examples that involve pattern recognition or some kind of sorting of subsets into their most common elements and associates the correlations between those subsets.

He gives good examples on the state of algorithms in use today and how they aid us in our decision making (just think Google's search engine). He gives an example how the programmers got it wrong in creating an algorithm for social aid in Colorado. The program thought only homeless people deserved medical coverage for the poor and other such poor interruptions of policy.

The author seems to think that "human intuition" can trump an algorithm. That just seems too naive and his examples in the book were never really convincing. Poor programming of misunderstood policy will lead to bad results, but the algorithm can be improved. A good algorithm can save lives and make better decisions (often with human interaction).

Google knows what I want to search for before I do, and Amazon recommends books better than I can, their algorithms are very good. Humans have there place with their intuitions, but a good tool can be a priceless aid. They're not perfect, but they continually get better. Watson beat the best Jeopardy contestants in the country using its algorithm. As Ken Jennings said "I, for one, welcome our computer overlords" as he answered the final question while losing badly.

A book about Algorithms should be keeping the listener on the edge of his seat. This book did no such thing. There wasn't really one thing in the book that I didn't already know (I lie. Will Smith uses patterns of recent Hollywood Blockbusters to determine his next movie is something I did not know. I don't care for Hollywood Blockbusters and that fact had escaped me).

If you have any interest in Algorithms (and who among us doesn't?), I would recommend one of these three recent Audbile books that I have listen to instead, "Dataclysm", a book on big data, and big data allows for the pattern recognition and sorting that's mentioned in this book; "The Second Machine Age", tells what's really going on with algorithms now and how society is changing because of it; and one of my favorites, "Superintelligence", tells where we will end up because of the recursive algorithm.