Machine Learning - Morgan Maynard - 图书 -  - 9798642236635 - 2020年5月2日
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Machine Learning

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元 119
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远程仓调货

预计送达时间 年6月2日 - 年6月18日
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How Do Computers Learn?

Machine Learning is a branch of computer science that wants to stop programming using a detailed list of commands. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems - these are learning algorithms.

In practice, these Algorithms empower computers to Learn and to Adapt.

We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before. Unfortunately, the true power and applications of today's Machine Learning Algorithms remain deeply misunderstood by many people.

Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms in use today. I will show you exactly how each algorithm works, why it works and when you should use it.

Supervised Learning AlgorithmsK-Nearest NeighbourNaïve BayesRegressionsUnsupervised Learning Algorithms: Support Vector MachinesNeural NetworksDecision Trees

介质类型 图书     Paperback Book   (平装胶订图书)
已发行 2020年5月2日
ISBN13 9798642236635
页数 68
商品尺寸 152 × 229 × 4 mm   ·   104 g
语言 英语  

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