{"id":1076,"date":"2021-07-20T03:15:13","date_gmt":"2021-07-20T03:15:13","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=1076"},"modified":"2021-09-09T05:46:53","modified_gmt":"2021-09-09T05:46:53","slug":"how-is-0xdatas-h2o-different-from-apache-mahout","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/mahout\/how-is-0xdatas-h2o-different-from-apache-mahout\/","title":{"rendered":"How is 0xdata’s H2O different from Apache Mahout ?"},"content":{"rendered":"
\n
\n

0xdata\u2019s H2O different from Apache Mahout:<\/h2>\n<\/div>\n<\/div>\n
\n
\n
    \n
  • By using H2O, you can use several of R, REST\/JSON. For Example curl\/bash, GUI browser, Scala or Java.<\/li>\n
  • 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).<\/li>\n
  • H2O has some algorithms implemented:\n
      \n
    1. Deep Learning \/ Neural Nets<\/li>\n
    2. Random Forest<\/li>\n
    3. Gradient Boosted Method<\/li>\n
    4. Generalized Linear Modelling including Logistic, Regression, Poisson, Gamma<\/li>\n
    5. PCA<\/li>\n
    6. KMeans (KMeans++, KMeans||, K-modes)<\/li>\n
    7. Naive Bayes<\/li>\n
    8. General Data Munging any standard R expression which auto-broadens to cover arrays also works the same in H2O.<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
      \n
      \"Oxdatas<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      Answer : By using H2O, you can use several of R, REST\/JSON…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7524],"tags":[195,7530,7558,7536,291,7559,7556,7532,7557,7555],"class_list":["post-1076","post","type-post","status-publish","format-standard","hentry","category-mahout","tag-accenture-interview-questions-and-answers","tag-advanced-apache-mahout-interview-questions","tag-apache-mahout-essentials","tag-apache-mahout-interview-questions-and-answers-for-freshers","tag-datamatics-global-services-ltd-interview-questions-and-answers","tag-learning-apache-mahout-classification","tag-machine-learning-in-hadoop","tag-mahout-interview-questions","tag-mahout-h2o","tag-technical-mahout-interview"],"yoast_head":"\nHow is 0xdata's H2O different from Apache Mahout ? - Mahout<\/title>\n<meta name=\"description\" content=\"How is 0xdata's H2O different from Apache Mahout ? 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