Learning Apache Mahout
Tiwary, Chandramani
Verkauft von Ria Christie Collections, Uxbridge, Vereinigtes Königreich
AbeBooks-Verkäufer seit 25. März 2015
Neu - Softcover
Zustand: New
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenVerkauft von Ria Christie Collections, Uxbridge, Vereinigtes Königreich
AbeBooks-Verkäufer seit 25. März 2015
Zustand: New
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenIn.
Bestandsnummer des Verkäufers ria9781783555215_new
Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout
If you are a Java developer and want to use Mahout and machine learning to solve Big Data Analytics use cases then this book is for you. Familiarity with shell scripts is assumed but no prior experience is required.
In the past few years the generation of data and our capability to store and process it has grown exponentially. There is a need for scalable analytics frameworks and people with the right skills to get the information needed from this Big Data. Apache Mahout is one of the first and most prominent Big Data machine learning platforms. It implements machine learning algorithms on top of distributed processing platforms such as Hadoop and Spark.
Starting with the basics of Mahout and machine learning, you will explore prominent algorithms and their implementation in Mahout development. You will learn about Mahout building blocks, addressing feature extraction, reduction and the curse of dimensionality, delving into classification use cases with the random forest and Naive Bayes classifier and item and user-based recommendation. You will then work with clustering Mahout using the K-means algorithm and implement Mahout without MapReduce. Finish with a flourish by exploring end-to-end use cases on customer analytics and test analytics to get a real-life practical know-how of analytics projects.
Chandramani Tiwary
Chandramani Tiwary is a Data Scientist with special interest towards building data driven products. He is a founding member of the Data Science team at Gainsight and was instrumental in framing Data Science use cases for customer success management in the SaaS industry. He is also an advisor to multiple organizations. He can be followed on Twitter at https://twitter.com/Mani_on_Twitt and on LinkedIn at https://www.linkedin.com/today/author/60666042.
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