Artificial Intelligence Bundle: 3 Books in 1
(eAudiobook)

Grouping Information

Book Cover Information

Hoopla Extract Information

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    [year] => 2020
    [artist] => Bob Mather
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    [language] => ENGLISH
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    [title] => Artificial Intelligence Bundle: 3 Books in 1
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    [duration] => 5h 14m 34s
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    [synopsis] => Book 1: Artificial Intelligence for People in a Hurry

Artificial Intelligence is coming; and it's coming whether we like it or not. This book is a good guide to understand how AI will impact every aspect of our daily lives, and the steps you can take to take advantage of it.

This book (unlike other books) will not bore you on the details of Python and Tensor Flow but just inspire you with knowledge about our future industries.

Book 2: Machine Learning in Finance

While machine learning and finance have generally been seen as separate entities, this book looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day trading scenario, or trying to determine the long term value of a stock, financial ratios and common sense have always been used as reliable indicators.

But how do these compare about advanced machine learning algorithms like clustering and regression? When would be the best time to use these?

Book 3: Machine Learning with Python

Intelligent people in whatever field they work know that simple works best. Soccer is, at its heart, a simple game. Pass the ball, move into space (where it is easier to control a pass and to deliver a return), move the ball on. When the chance arises, attempt to score a goal. If you are a defender, try to deny the other side space. A simple pass is easier to complete than a complex one. Intercepting the ball is easier than winning it through a tackle. Moving into space, finding a good angle, and communicating well makes a pass easier to deliver for a team mate. Intelligence and simplicity might sound as though they should be opposites, but in fact they are close bed fellows.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media, etc., analysis of data has become integral to our daily life.
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