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Course overview
Lecture Details
Watch the sample class recording httpwww.edureka.comahout?utm_source=youtube&utm_medium=referral&utm_campaign=mahout-tutorial-1
Apache mahout is known to produce free impelementations of distributed or otherwise scalable machine learning algorithms focussed primarily in the areas of clustering and classification.
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Some of the topics covered in this video are as follows
1. Introduction to Machine Learning and Apache mahout
2. Mahout and Hadoop
3. Recommendation Engine
4. Impelementing a recommender and recommendation platform
5. Clustering
6. Classification
7. Mahout and Amazon EMR
8. Project Discussion
Curriculum for this course
28 Lessons
13:36:14 Hours
Lecture
28 Lessons
13:36:14 Hours
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Apache Mahout Tutorial-1
Preview 01:13:40
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Apache Mahout Tutorial-2
02:07:50
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Machine Learning with Mahout
00:34:35
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Introduction to Apache Mahout
00:28:40
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What is Mahout ?
00:25:41
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Classification of Apache Mahout
01:23:21
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Mahout Machine Learning
00:06:53
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Learning Techniques in Mahout
00:19:57
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Supervised Learning Technique In Mahout
00:11:06
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Introduction to Recommendation Systems
00:45:56
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Introduction to Pearsons Correlation
00:16:32
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Understanding Distance Measures in Apache Mahout
00:07:08
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Understanding Euclidean Distance & Cosine Similarities in Mahout
00:04:09
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Tanimoto Coefficient
00:04:24
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Understanding Basics of Clustering
00:19:15
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Clustering Algorithms
00:13:13
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ClickStream Analytics in Mahout
00:04:25
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Introduction to Fuzzy K Means
00:04:35
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Collaborative Filtering Framework
00:20:55
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Similarities Metrics in Mahout
00:19:32
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Introduction to Myrrix and Oryx
00:08:32
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What is Canopy Clustering | Canopy Clustering in Mahout
00:36:07
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What is Topic Model-Understanding LDA
00:26:58
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Introduction to Clustering Techniques
00:20:08
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Understanding Apriori Algorithm-Apriori Algorithm Using Mahout
00:35:41
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Mahout Clustering Tutorial-Apache Mahout Clustering
01:00:44
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Mahout Overview-Mahout Machine Learning
00:30:41
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Mahout Use Cases-Apache Mahout Tutorial
00:25:36
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