Machine Learning with Mahout
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Updated On 02 Feb, 19
Apache Mahout Tutorial - Machine Learning with Mahout - Introduction to Apache Mahout - What is Mahout ? - Mahout Overview - Machine Learning Use cases - Classification of Apache Mahout - Mahout Machine Learning - Learning Techniques in Mahout - Supervised Learning Technique In Mahout - Introduction to Recommendation Systems - Introduction to Pearsons Correlation - Understanding Distance Measures in Apache Mahout - Understanding Euclidean Distance & Cosine Similarities in Mahout - Tanimoto Coefficient - Understanding Basics of Clustering - Introduction to Clustering in Mahout - Clustering Algorithms - ClickStream Analytics in Mahout - Introduction to Fuzzy K Means - Collaborative Filtering Framework - Similarities Metrics in Mahout - Introduction to Myrrix and Oryx - What is Canopy Clustering | Canopy Clustering in Mahout - What is Topic Model | Understanding LDA (Latent Dirichlet Allocation) - Introduction to Clustering Techniques - Understanding Apriori Algorithm - Apriori Algorithm Using Mahout - Mahout Clustering - Mahout Clustering Tutorial - Apache Mahout Clustering - Mahout Overview - Mahout Machine Learning - Mahout Use Cases - Apache Mahout Tutorial
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Watch Sample Class Recording httpwww.edureka.comahout?utm_source=youtube&utm_medium=referral&utm_campaign=clustering-basics
Clustering means grouping any forms of data into characteristically similar groups of data-sets. In other words, Clustering is dividing data points into
homogeneous classes or clusters, such that the points in the same group are as similar as possible, while those in different groups are as dissimilar as possible.
When a collection of objects is given, they are divided into groups based on similarity.
Following are the topics covered in the video
1. Clustering use Cases
2. Clustering use case - twitter
3. Clustering Basics
4. Types of Clustering
5. Sample Examples of Clustering
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The topics related to Clustering’ have extensively been covered in our course ‘Machine Learning with Mahout’.
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Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
March 29, 2019
Great course. Thank you very much.