Technical Mahout Interview - Wikitechy https://www.wikitechy.com/interview-questions/tag/technical-mahout-interview/ Interview Questions Thu, 09 Sep 2021 05:49:06 +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 Technical Mahout Interview - Wikitechy https://www.wikitechy.com/interview-questions/tag/technical-mahout-interview/ 32 32 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  • Even if you just would like to work through and correct some of the tutorials that might have gotten a bit out of date, your contributions would be very welcoming.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
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