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Machine Learning with Mahout Certification Training by Edureka
Skills you will learn!
Curriculum
7 Topics
Machine Learning Fundamentals
Apache Mahout Basics
History of Mahout
Supervised and Unsupervised Learning techniques
Mahout and Hadoop
Introduction to Clustering
Classification
2 Topics
Mahout on Apache Hadoop setup
Mahout and Myrrix
8 Topics
Recommendations using Mahout
Introduction to Recommendation systems
Content Based (Collaborative filtering
User based
Nearest N Users
Threshold
Item based)
Mahout Optimizations
13 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
13 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
10 Topics
Examples
Basics
Predictor variables and Target variables
Common Algorithms
SGD
SVM
Navie Bayes
Random Forests
Training and evaluating a Classifier
Developing a Classifier
6 Topics
Mahout on Amazon EMR
Mahout Vs R
Introduction to tools like Weka
Octave
Matlab
SAS
1 Topic
A complete recommendation engine built on application logs and transactions
Machine Learning with Mahout Certification Training
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