Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars. These programs are already helping us fight the war on cancer and predict the movements of the stock market, and they are making great headway with instant language translation and discovering new laws of nature.
But machine learning is incomplete, and its practitioners across the globe are seeking the most powerful algorithm of all. The Master Algorithm will not be limited to solving particular problems but will be able to learn anything and solve any problem, however difficult, and Pedro Domingos, a trailblazing computer scientist, is at the very forefront of the search for it. With the Master Algorithm in hand and data as its fuel, machine learning - essentially the automation of discovery, a kind of scientific method on steroids - will become the most powerful technology humanity has ever devised. And The Master Algorithm will be its bible.
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Let the Data Speak for themselves
Great book, irritating narration
Would recommend to anyone who has the will power to tolerate the poor narration in order to benefit from the excellent content.
The content is fantastic - Pedro Domingos has written an excellent overview of the field.
The narration is by someone who sounds like they are straight out of an ad from the 1950's. He has that sort of "gee whiz, golly gee" tone, with every sentence seeming to end with an exclamation mark, and pronounces the word "computer" like my grandmother used to while she was still alive: sort of like "commuter" (I'm 50, so my grandmother was born in the 1800's -- you get the picture).
I suggest that audible use a learning algorithm next to choose narrators for each content genre that will resonate properly with the audience -- this one is WAY off base!
- N. G. PEPIN