Apache Mahout Online Training

October 26, 2017 | Author: MindMajix | Category: Web Server
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Description: Mindmajix is the expert in Apache Mahout Online Training, Mahout is a project of the Apache Software Founda...

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Unit 4:Implementing a recommender and recommendation platform Topics - User based recommendation, User Neighbourhood, Item based Recommendation, Implementing a Recommender using MapReduce, Platforms: Similarity Measures, Manhattan Distance, Euclidean Distance, Cosine Similarity, Pearson's Correlation Similarity, Loglikihood Similarity, Tanimoto, Evaluating Recommendation Engines (Online and Offline),Recommendors in Production. Unit 5:Clustering Topics - Clustering, Common Clustering Algorithms, K-means, Canopy Clustering, Fuzzy K-means and Mean Shift etc., Representing Data, Feature Selection, Vectorization,Representing Vectors,Clustering documents through example,TF-IDF, Implementing clustering in Hadoop,Classification. Unit 6:Classification Topics - Examples, Basics, Predictor variables and Target variables, Common Algorithms, SGD, SVM, Navie Bayes, Random Forests, Training and evaluating a Classifier,Developing a Classifier. Unit 7:Mahout andAmazon EMR Topics - Mahout on Amazon EMR, Mahout Vs R, Introduction to tools like Weka, Octave,Matlab,SAS. Unit 8:Project Topics - A complete recommendation engine built on application logs and transactions. Our Apache Mahout OnlineTraining batches starts every day You can attend a DEMO for free We Provide nline Training n TIBCO BW Tableau QlikView TIBCO Spotfire SAS BI SAP Hybris Selenium Oracle DBA Oracle SOA Oracle Financials IOS Development Android Data Modeling- Erwin Performance Testing SFDC SAP UI5 SAP Hana  We offers You 1.InteractiveLearningatLearnersconvenience 2. IndustrySavvy Trainers 3.“Real Time"   Practical scenarios 4. Learn Right from Your Place 5. Customized Course Curriculum 6. 24/7ServerAccess 7. Supportafter Training and Certification Guidance 8. Resume Preparation and Interview assistance 9. Recorded version of sessions Thank you Your feedback is highly important to improve our course material. For Free Demo Please Contact INDIA: +91-9246333245, US: +1-2013780518, Email id: [email protected] http://bit.ly/1JX913P
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