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Machine learning with Apache Mahout
Rated 4.0/5 based on 236 Votes customer reviews

Machine learning with Apache Mahout Training

  • 30 hours of comprehensive, virtual training on Apache Mahout
  • Practical exercises and hands on experience working with Mahout
  • Learn from industry experts
  • Become a data mining expert and ensure a lucrative career
100% Moneyback Guarantee
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Description

Apache Mahout training

Zeolearn brings you an intensive boot camp session on Apache Mahout--the machine learning library that greatly simplifies extracting information from huge data sets and is a popular choice for organizations that work with Big Data. This Apache Mahout training is conducted by industry experts who have formulated a course that introduces you to the concepts of machine learning and the Apache Mahout basics. You will learn in a hands on workshop the various algorithms, collaborative filtering and many more advanced topics. Enrol in the Zeolearn academy and get learning benefits and the confidence to implement Mahout in your workplace.    

Apache Mahout’s scalability and robustness makes it an ideal choice for creating machine learning algorithms. These are written on top of Hadoop and work well in distributed environments, providing results fast and effectively. Apache Mahout specialists are in high demand and can help their organizations make intelligent business decisions with their data sets. 

Here’s what you will learn!

  • About big data and how it is changing the way business is done
  • How machine learning helps in predictions, analysis and rapid processing
  • About Apache Mahout and the algorithms it uses for machine learning

Is this course right for you?

Analytics Professionals, Data Scientists, Software Developers and Architects, Business Analysts, Professionals working with R, Matlab, Python, or statisticians looking to learn machine learning techniques and even graduates who want to make a career in Big data analytics will benefit from this course.

Prerequisites:

  • Basic knowledge of Java programming
  • Familiarity with Hadoop terms and concepts would be beneficial but it is not a prerequisite for attendance

Highlights

Instructor Led Online Classes

Live interactive training from expert faculty, access the class from anywhere.

Learn by doing

Cement your learning through hands-on assignments where you will be mentored.

Flexible Schedule

Convenient weekday and weekend batches, making it easy to attend.

Money Back Guarantee

Not happy? Opt out within one day, and get a refund!

Your Satisfaction, Assured

Get a chance to attend any other live batch of the same course for free

Lifetime Access

Get lifetime access to your class recording to refresh your learning at any time in the future.

Curriculum

  • Machine Learning Fundamentals
  • Apache Mahout Basics
  • History of Mahout
  • Supervised and Unsupervised Learning techniques
  • Mahout and Hadoop
  • Introduction to Clustering
  • Classification
  • Mahout on Apache Hadoop setup
  • Mahout and Myrrix
  • Recommendations using Mahout
  • Introduction to Recommendation systems
  • Content Based (Collaborative filtering, User based, Nearest N Users, Threshold, Item based)
  • Mahout Optimizations
  • User based recommendation
  • User Neighbourhood
  • Item based Recommendation
  • Implementing a Recommender using MapReduce
  • Platforms: Similarity Measures, Manhattan Distance, Euclidean Distance, Cosine Similarity, Pearson's Correlation Similarity, Loglikihood Similarity, Tanimoto
  • Evaluating Recommendation Engines (Online and Offline)
  • Recommenders in Production
  • Clustering
  • Common Clustering Algorithms
  • K-means
  • Canopy Clustering
  • Fuzzy K-means and Mean Shift etc.
  • Representing Data
  • Feature Selection
  • Vectorization
  • Representing Vectors
  • Clustering documents through example
  • TF-IDF
  • Implementing clustering in Hadoop
  • Classification.
  • Examples
  • Basics
  • Predictor variables and Target variables
  • Common Algorithms
  • SGD
  • SVM
  • Navie Bayes
  • Random Forests
  • Training and evaluating a Classifier
  • Developing a Classifier
  • Mahout on Amazon EMR
  • Mahout Vs R
  • Introduction to tools like Weka
  • Octave, Matlab, SAS

faq

Machine learning is used to make our systems more intelligent and fit to tackle processing that comes with large amounts of Big Data. Big Data is now in abundance which means that there is an urgent need for algorithm frameworks that can tackle the big data and make intelligent decisions based on it. Mahout is one such framework that uses the machine learning techniques and helps derive business decisions. Professionals who wish to get into analytics need to undergo machine learning course to understand the aspects of machine learning and its uses. Zeolearn brings a comprehensive Machine learning training that introduces to all the benefits of Machine learning and its fundamental uses. Our workshop has been carefully designed by trainers who are industry experts who will hand-hold you through the various concepts. The demo and practice sessions, lectures and materials such as case studies and extensive glossary and courseware will help you to completely master Mahout and gain confidence in handling data analytics to derive business insights and help your organization. 

  • Machine learning and what it is
  • Machine learning techniques
  • Implement and understand various algorithms such as SVM, Naive Bayes, Random Forests, etc.
  • Recommendation system
  • Collaborative filtering, Clustering and Categorization
  • About the use of Mahout in Big Data analysis
  • Implementing a recommender using MapReduce
  • Introduction to tools like Weka, Octave, Matlab, SA

Zeolearn brings you online mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Big Data such as Hadoop Administration and Apache Spark and Scala, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Apache Mahout Certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will write your own Apache Mahout code and implement it with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Analytics Professionals, Data Scientists, Software Developers and Architects, Business Analysts, Professionals working with R, Matlab, Python, or statisticians looking to learn machine learning techniques and even graduates who want to make a career in Big data analytics will benefit from this course.

  • Operating system such as Mac OS X, Windows or Linux
  • 4 GB RAM
  • Dual Core CPU

Corporates who have up-skilled their teams