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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark

Język publikacji: angielskim
Autor:
Frank Kane
Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark Frank Kane - okladka książki

Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark Frank Kane - okladka książki

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
420
Dostępne formaty:
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     ePub
     Mobi

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Do przechowalni

Join Frank Kane, who worked on Amazon and IMDb’s machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.
Based on Frank’s successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.

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O autorze książki

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.

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