Hadoop-Mongodb-Apache Mahout Development
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Apache Mahout - Predictive Analytics Today

Apache Mahout - Predictive Analytics Today | Hadoop-Mongodb-Apache Mahout Development | Scoop.it
The Apache Mahout project’s goal is to build an environment for quickly creating scalable performant machine learning applications. Apache Mahout is a simple and extensible programming environment and framework for building scalable algorithms and contains a wide variety of premade algorithms for Scala and Apache Spark, H2O, Apache Flink. It also used Samsara which is a vector math experimentation environment with R-like syntax which works at scale. Apache™ Mahout is a library of scalable machine-learning algorithms, implemented on top of Apache Hadoop and using the MapReduce paradigm. While Mahout’s core algorithms for clustering, classification and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm, it does not restrict contributions to Hadoop-based implementations. Contributions that run on a single node or on a non-Hadoop cluster are also welcomed. For example, the ‘Taste’ collaborative-filtering recommender component of Mahout was originally a separate project and can run stand-alone without Hadoop. Machine learning is a discipline of artificial intelligence focused on enabling machines to learn without being explicitly programmed, and it is commonly used to improve future performance based on previous outcomes. Once big data is stored on the Hadoop Distributed File System (HDFS), Mahout provides the data science tools to automatically find meaningful patterns in those big data sets. The Apache Mahout project aims to make it faster and easier to turn big data into big information. Apache Mahout is a great programming aid that will be useful whether the user is a beginner or more advanced. Easy tutorials are also available online.
Apache Mahout
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MongoDB helps developers stitch services together

MongoDB helps developers stitch services together | Hadoop-Mongodb-Apache Mahout Development | Scoop.it
Database vendor offers backend-as-a-service and expands cloud support
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Recommender Engines with Collaborative Filtering

Recommender Engines with Collaborative Filtering | Hadoop-Mongodb-Apache Mahout Development | Scoop.it
Our developers are specialized in various machine learning techniques like Collaborative filtering, clustering, classification and recommendation.
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Is Big Data Really on a Bullet Train to the Cloud?

Is Big Data Really on a Bullet Train to the Cloud? | Hadoop-Mongodb-Apache Mahout Development | Scoop.it
In this article, I’ll dive into these usage patterns, the insights presented by the ODPi UAB and their first-hand experience with the cloud’s role in Hadoop and Big Data.
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BigDL Democratizes Deep Learning Innovation - IT Peer Network

BigDL Democratizes Deep Learning Innovation - IT Peer Network | Hadoop-Mongodb-Apache Mahout Development | Scoop.it
Deep learning is a subset of machine learning and a key technique of artificial intelligence (AI) and is the most rapidly growing area of AI innovation.
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Hadoop-Mongodb-Apache Mahout Development

Hadoop-Mongodb-Apache Mahout Development | Hadoop-Mongodb-Apache Mahout Development | Scoop.it


Oodles Technologies - We have expertise in BigData technologies and our engineers are proficient in Hadoop development, Apache Mahout, MongoDB etc.

 

 

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