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Scala In Building Real-world Machine Learning & Deep Learning

   Author: Baturi   |   25 July 2022   |   Comments icon: 0

Scala In Building Real-world Machine Learning & Deep Learning
Scala In Building Real-world Machine Learning & Deep Learning by Hattie Pollard
English | 2022 | ISBN: N/A | ASIN: B0B5VCPYQJ | 450 pages | EPUB | 40 Mb
Powerful smart applications using deep understanding algorithms to dominate mathematical computing, deep knowing, and functional programming.


Trick Attributes
Check out artificial intelligence strategies with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
Fix real-world machine learning troubles by diving facility numerical computing with Scala useful programs in a scalable and faster method
Cover all vital aspects such as collection, keeping, handling, examining, and examination called for to build and also deploy equipment models on computing collections utilizing Scala Play structure.
Book Summary
Artificial intelligence has had a significant impact on academic community as well as industry by turning data into actionable info. Scala has seen a constant increase in adoption over the past couple of years, particularly in the fields of data science and also analytics. This book is for data researchers, data designers, and deep learning enthusiasts who have a history in complex numerical computing and wish to know more hands-on maker discovering application development.
If you're well versed in artificial intelligence principles and want to broaden your knowledge by delving into the practical implementation of these ideas using the power of Scala, after that this publication is what you need! Through 11 end-to-end projects, you will certainly be familiarized with popular device finding out libraries such as Spark ML, WATER, DeepLearning4j, and also MXNet.
At the end, you will have the ability to use numerical computer and practical shows to perform complex mathematical jobs to create, build, and also release study or business jobs in a production-ready atmosphere.



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