This Machine Learning with Mahout tutorial will introduce you to Apache Mahout which is an evironment with scalable machine learning algorithms focused in collaborative filtering, clustering and classification.
In this Machine Learning with Mahout tutorial you will learn:
• what Apache Mahout is and why should we use it.
• Machine Learning.
• Techniques, Recommendation Systems.
• Pearsons Correlation.
• Distance Measures.
• Euclidean Distance & Cosine Similarities.
• Tanimoto Coefficient.
• Basics of Clustering.
• Clustering Algorithms.
• ClickStream Analytics.
When you complete this Machine Learning with Mahout tutorial you will be able to use Apache Mahout environment for building your own scalable math algorithms.
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