A presentation given on final semester of BSc IT

1. Name:Aman Adhikari
Email: adhikariaman01@gmail.com

2.  Machine Learning , a branch of AI, is about
construction and study of system that can
learn from existing data.
It is used in field like:
Information retrieval
Identify key topics in large collections of text
Biology
Linear Algebra etc.

3.  An Apache Software Foundation project to
create scalable machine learning libraries
under the Apache Software License.
WHY MAHOUT ?
Many Open Source Machine Learning libraries either:
 Lack Community
 Lack Documentation and Examples
 Lack Scalability
 Lack the Apache License
 Or are not research-oriented

4.  Began life at 2008 as sub project of Apache
Lucene (search, text mining- API).
 Lucene commiter felt it to include as
separate project and mahout absorbed Taste
collaborative filtering project.
 At April 2010, Mahout became top level
apache project

5.  Google News sees about 3.5 million new
news articles per day and clustered with
other articles in minutes to deliver timely.
Other eg. Picasa.
 Mahout makes use of hadoop.
 Some algorithms won’t scale to massive machine
clusters but map-reduce framework like apache
hadoop do.
 Mahout convert algorithm to work at scale on top
of Hadoop.

6.  Recommender engines (Collaborative
Filtering)
 Clustering
 Classification

7.  Extensive framework for collaborative
filtering.
 Recommenders:
-- User Based
-- Item Based
 Online and Offline support
-- Offline can utilize hadoop
 Used by Amazon , Facebook etc.

9.  Clustering techniques attempt to group a
large number of things together into clusters
that share some similarity.
 K-means , Fuzzy K-means
 Summly app also summarize similar stories
from different news site and gives a brief
news on that app.(concept of Google news)

10.  Classification techniques decide how much a
thing is or isn’t part of some type or
category, or how much it does or doesn’t
have some attribute.
 Example:
-- Yahoo Mail spam checker
-- Facebook face detection

11.  Mahout is young ,open source , scalable
machine learning library from apache
 Its technique are no longer theory instead
deployed to solve in real world like e-
commerce, video , picture etc.
 Scalability being the major issue Hadoop is
on rescue.