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Best Institutes for Apache Mahout training in Kannur with Course Fees

List of 1+ Apache Mahout training institutes located near to you in Kannur as on January 28, 2020. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.



training institutes IIHT KHARGHAR
Kannur - Kannur City
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Address: 26, 1st Floor, S.N. Park, Sector-3, Belpada Kannur-410210

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Apache Mahout Training Institutes in Kannur - by Location

Yet5.com Provides complete list of best Apache Mahout training institutes in Kannur and training centers with contact address, phone number, training reviews, course fees, job placement, course content, special offers and trainer profile information by area.




Learning Apache Mahout course in Kannur - Benefits, Advantages & Placements.

We have identified the benefits of learning apache-mahout course in Kannur.
Apache Mahout training in Kannur is part of Hadoop training course class, Apache Mahout is an open source framework that is primarily used in producing scalable machine learning algorithms as well as in data mining.It is a simple and extensible programming environment for building scalable algorithms.A mahout is the one who drives an elephant as its master.Hence it uses elephant as its logo.
Mahout was founded by several people who were involved in the Apache Lucene which is an open source search community who found their interests in machine learning.It later became as Apache TLP in April 2010. Apache Mahout is a product of the Apache Software Foundation to produce scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering and classification. The implementations use the Apache Hadoop platform.
It also runs in single node or a non Hadoop Cluster. The algorithms of Mahout are written on top of Hadoop, so it performs well in distributed environment. Mahout uses the Apache Hadoop library to scale effectively in the cloud.Companies such as Adobe, Facebook, LinkedIn, Foursquare, Twitter, and Yahoo use Mahout internally.
Mahout has come a long way in a short amount of time. Although the focus is still on the Three Cs such as collaborative filtering (recommenders), clustering, and classification, the project has also added other capabilities.It has expanded and improved in two areas such as core algorithms for machine learning, and supporting infrastructure including input/output tools, integration points with other libraries.However it is continuously improvising each day.
The city also known as Cannanore is in Kerala . The city has its administrative head quarters in Thiruvananthapuram the capital city of Kerala . the city is is famous for looms and lores because of the loom industries. The city gives special importance to education as the city has a lot of good universities and colleges like Indian Naval Academy in Ezhimala , Kannur University, Government College of Engineering, Kannur and many other institutions. There is a cyberpark in kannur wich has IT companies and hence the job opportunities are high. The city is a homely place and is feasible t live in. education cost is efficient and hene differs according to the course.
You have travel connectivity to apache-mahout course educational training institutes in Kannur. The district has good roads connecting to Bangalore, Mangalore and cochin. The nearest airport from the city is in Calicut and Mangalore. The Kannur international airport is under construction. The kannur ailway station in the southern railway zone region has frequent trains connecting to almost all the metro cities in the southern region. The localities utilizes the auto Rickshaw, taxies and busses in the city to reach nook and corner of the areas in the city.




Apache Mahout course Content / syllabus in kannur

Below is the Apache Mahout course content in kannur used by the training institutes as part of the Apache Mahout course training. The Apache Mahout course syllabus covers basic to advanced level course contents which is used by most of Apache Mahout training classes in kannur .


1.Intro to Machine Learning
2.Intro to Apache Mahout
3.Recommendation Engine
6.Intro to recommendation systems
7.Content Based
a.Collaborative filtering
b.User based
c.Nearest N Users
e.Item based
8.Mahout Optimizations
9.An overview of a recommendation platform
a.Similarity measures
b.Manhattan distance
c.Euclidean distance
d.Cosine Similarity
e.Pearsons Correlation Similarity
f.Loglikihood Similarity
10.Evaluating Recommendation engines
11.Intro to Clustering
a.Common Clustering Algorithms
c.Fuzzy K-means, Mean Shift etc
d.Representing data
e.Feature Selection
g.Representing Vectors
12.Intro to Classification
c.Common Algorithms
13.Mahout on Hadoop
14.Apache Mahout & Myrrix


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