Advanced Apache Mahout Interview Questions - Wikitechy https://www.wikitechy.com/interview-questions/tag/advanced-apache-mahout-interview-questions/ Interview Questions Thu, 09 Sep 2021 05:58:36 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.wikitechy.com/interview-questions/wp-content/uploads/2025/10/cropped-wikitechy-icon-32x32.png Advanced Apache Mahout Interview Questions - Wikitechy https://www.wikitechy.com/interview-questions/tag/advanced-apache-mahout-interview-questions/ 32 32 What is the difference between apache mahout and Prediction.io ? https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-apache-mahout-and-prediction-io/ https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-apache-mahout-and-prediction-io/#respond Tue, 20 Jul 2021 03:21:23 +0000 https://www.wikitechy.com/interview-questions/?p=1080

Difference between Prediction.io and apache mahout

Apache mahout Prediction.io
FEATURES: The three components of Mahout are an
environment for building scalable algorithms,many new
Scala + Spark and H2O (Apache Flink in progress)
algorithms, and Mahout’s mature Hadoop MapReduce
algorithms.		 FEATURES: The Prediction.io supports event collection, evaluation, deployment of algorithms, querying predictive results via REST APIs.
PROGRAMMING LANGUAGES: Java, Python, Ruby PROGRAMMING LANGUAGES: Java
SOURCE TYPE: Open SOURCE TYPE: Open
Individual can create analytics apps with Mahout,
if you want the apps as an API or as a server,
individual needs something like Prediction.IO		 Prediction.io wants an algorithm layer; it comes with Apache Spark as well as Stanford NLP, but individual also can use Mahout.
Prediction io and apache mahout
Apche Mahout
]]> https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-apache-mahout-and-prediction-io/feed/ 0 What is the difference between Cloudera Oryx and Apache Mahout ? https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-cloudera-oryx-and-apache-mahout/ https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-cloudera-oryx-and-apache-mahout/#respond Tue, 20 Jul 2021 03:20:00 +0000 https://www.wikitechy.com/interview-questions/?p=1079

Differences between Cloudera Oryx and Apache Mahout

  • There are 3 broad things an operational ML system needs to do eventually
    • Build models at scale, offline
    • Update models in near real time
    • Query models in real time
  • Most of the tools like Mahout or MLLib do building models at scale only.
  • Oryx tries to do all 3, and is not doing building model.
  • Therefore it is really intended as a complement to any Hadoop-based model build system.
  • As a result it is MapReduce based for model building and implemented algorithms instead of using Mahout to improve on perceived problems.
  • The project which is open source, is more designed as 3 complete apps rather than a platform for extension.
  • It only implements
    • ALS for recommendation
    • Kmeans for clustering
    • Random decision forests for classification and regression
  • The major difference is fewer algorithms but complete apps including incremental update and serving. It is not the algorithms that are really the difference since Oryx is not a new library.
  • The next version is built on Spark and Kafka then becomes more of generic lambda architecture for ML that happens to have entire apps too.
  • It is kind of Summing bird for ML on Spark. It has no algorithms implementations at all, not now. Therefore it is even more different from Mahout or MLLib.
]]> https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-cloudera-oryx-and-apache-mahout/feed/ 0 What is pre-requisites for contributing to Apache Mahout ? https://www.wikitechy.com/interview-questions/mahout/what-is-pre-requisites-for-contributing-to-apache-mahout/ https://www.wikitechy.com/interview-questions/mahout/what-is-pre-requisites-for-contributing-to-apache-mahout/#respond Tue, 20 Jul 2021 03:16:51 +0000 https://www.wikitechy.com/interview-questions/?p=1077

Pre-requisites for contributing to Apache Mahout:

  • Apache Mahout is open project. There are lots of new things happening in the project lately so a variety of skills are useful.
  • If you have a bit of background in machine learning or math or Spark or Scala, then your contributions would be quite welcoming.
  • Even if you just would like to work through and correct some of the tutorials that might have gotten a bit out of date, your contributions would be very welcoming.
Pre requisites for contributing to apache mahout
]]> https://www.wikitechy.com/interview-questions/mahout/what-is-pre-requisites-for-contributing-to-apache-mahout/feed/ 0 How is 0xdata’s H2O different from Apache Mahout ? https://www.wikitechy.com/interview-questions/mahout/how-is-0xdatas-h2o-different-from-apache-mahout/ https://www.wikitechy.com/interview-questions/mahout/how-is-0xdatas-h2o-different-from-apache-mahout/#respond Tue, 20 Jul 2021 03:15:13 +0000 https://www.wikitechy.com/interview-questions/?p=1076

0xdata’s H2O different from Apache Mahout:

  • By using H2O, you can use several of R, REST/JSON. For Example curl/bash, GUI browser, Scala or Java.
  • The H2O algorithms are usually 100x to 1000x faster than current Map/Reduce-based Mahout (but Mahout is working hard to port itself to both Spark and H2O).
  • H2O has some algorithms implemented:
    1. Deep Learning / Neural Nets
    2. Random Forest
    3. Gradient Boosted Method
    4. Generalized Linear Modelling including Logistic, Regression, Poisson, Gamma
    5. PCA
    6. KMeans (KMeans++, KMeans||, K-modes)
    7. Naive Bayes
    8. General Data Munging any standard R expression which auto-broadens to cover arrays also works the same in H2O.
Oxdatas h2o different form apache mahout
]]> https://www.wikitechy.com/interview-questions/mahout/how-is-0xdatas-h2o-different-from-apache-mahout/feed/ 0 What is the difference between GraphLab and Mahout ? https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-graphlab-and-mahout/ https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-graphlab-and-mahout/#respond Tue, 20 Jul 2021 03:13:48 +0000 https://www.wikitechy.com/interview-questions/?p=1075

Difference between graphlab and mahout:

Mahout Graphlab
Mahout is a framework for machine learning
and part of the Apache Foundation		 Graphlab project takes a quite different approach to parallel collaborative filtering (more broadly, machine learning), and is
primarily used by academic institutions.
Mahout has inherent Fault-tolerance Graphlab does not have inherent Fault-tolerance
Mahout looks like a more polished product,
especially as it relies on Hadoop for
scalability and distribution.		 Graphlab excells since it is built ground up for iterative algorithms such as those used in collaborative filtering.
The mahout framework comes in two approaches:
Online where recommendations are computed on demand,
typically on smaller datasets.
Offline which utilise Apache Hadoop to achieve
scalability.		 Graphlab lacks a production-ready distribution framework.
For 50000 items, you need to have N machines
with at least 28 GiB of memory for each,
where N is the number of Hadoop nodes and hence 28 GiB
of memory becomes an issue.		 Costly performance penalties since runtime of each phase is decided by slowest machine.
what is apache mahout
]]> https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-graphlab-and-mahout/feed/ 0 What are the uses and applications of Mahout ? https://www.wikitechy.com/interview-questions/mahout/what-are-the-uses-and-applications-of-mahout/ https://www.wikitechy.com/interview-questions/mahout/what-are-the-uses-and-applications-of-mahout/#respond Tue, 20 Jul 2021 02:45:34 +0000 https://www.wikitechy.com/interview-questions/?p=1073

Uses of mahout:

  • It uses the Apache Hadoop library to allow Mahout to scale efficiently in the cloud.
  • Mahout focus on real-world, practical use cases as opposed to bleeding-edge research or unproven techniques and offers quality documentation.
  • It used to produce scalable machine learning algorithm then to implements its machine learning techniques that are:
    1. Recommendation
    2. Clustering
    3. Classification

Applications of Mahout:

  • Adobe, Facebook, LinkedIn, Foursquare, Twitter, and Yahoo use Mahout internally.
  • Foursquare helps you to find out the place, food and entertainment available in a particular area. It uses the recommender engine of Mahout.
  • Twitter may use Mahout for user interest modelling.
  • Yahoo uses Mahout for pattern mining.
Uses and Applications of mahout
]]> https://www.wikitechy.com/interview-questions/mahout/what-are-the-uses-and-applications-of-mahout/feed/ 0 What is Apache Mahout ? https://www.wikitechy.com/interview-questions/mahout/what-is-apache-mahout/ https://www.wikitechy.com/interview-questions/mahout/what-is-apache-mahout/#respond Tue, 20 Jul 2021 02:43:50 +0000 https://www.wikitechy.com/interview-questions/?p=1065

Apache mahout:

  • An Apache Software Foundation project to create free implementations of distributed or else scalable machine learning algorithms under the Apache Software license that focused in the areas of collaborative filtering, classification and clustering.
  • Several implementations utilize the Apache Hadoop platform.
What is apache mahout
  • It gives Java libraries for general maths operations (like linear algebra framework, statistics and data scientists) and primal Java collections.
  • Mahout is a work in advancement; much number of implemented algorithms has developed rapidly, however various algorithms are still missing.
  • Apache Mahout contains three major features:
    • It gives simple and extensible programming environment then framework for building versatile algorithms.
    • A wide variety of premade algorithms for Scala + Apache Spark, Apache Flink, H2O.
    • Samsara, a vector math experimentation environment with R-like syntax which works at scale.
layout of mahout
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