Machine Learning with Mahout Certification Training

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Machine Learning with Mahout Certification Training

An online course designed to provide a blend of Machine learning & Big Data and where Mahout fits in the Hadoop Ecosystem.

$269.00 $207.00

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Introduction to Machine Learning and Apache Mahout

Answer: Learning Objectives - This module will give you an insight about what 'Machine Learning' is and How Apache Mahout algorithms are used in building intelligent applications. Topics - Machine Learning Fundamentals, Apache Mahout Basics, History of Mahout, Supervised and Unsupervised Learning techniques, Mahout and Hadoop, Introduction to Clustering, Classification.

Mahout and Hadoop

Answer: Learning Objectives - In this module you will learn how to set up Mahout on Apache Hadoop. You will also get an understanding of Myrrix Machine Learning Platform. Topics - Mahout on Apache Hadoop setup, Mahout and Myrrix.

Recommendation Engine

Answer: Learning Objectives - In this module you will get an understanding of the recommendation system in Mahout and different filtering methods. Topics - Recommendations using Mahout, Introduction to Recommendation systems, Content Based (Collaborative filtering, User based, Nearest N Users, Threshold, Item based), Mahout Optimizations.

Implementing a recommender and recommendation platform

Answer: Learning Objectives - In this module you will learn about the Recommendation platforms and implement a Recommender using MapReduce. Topics - 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), Recommendors in Production.

Clustering

Answer: Learning Objectives - This module will help you in understanding 'Clustering' in Mahout and also give an overview of common Clustering Algorithms. Topics - 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.

Classification

Answer: Learning Objectives - In this module you will get a clear understanding of Classifier and the common Classifier Algorithms. Topics - Examples, Basics, Predictor variables and Target variables, Common Algorithms, SGD, SVM, Navie Bayes, Random Forests, Training and evaluating a Classifier, Developing a Classifier.

Mahout and Amazon EMR

Answer: Learning Objectives - At the end of this module, you will get an understanding of how Mahout can be used on Amazon EMR Hadoop distribution. Topics - Mahout on Amazon EMR, Mahout Vs R, Introduction to tools like Weka, Octave, Matlab, SAS.

Project

Answer: Learning Objectives - In this module you will develop an intelligent application using Mahout on Hadoop. Topics - A complete recommendation engine built on application logs and transactions.

About The Course

Answer: This course covers the fundamentals of machine learning techniques ranging from various algorithms of Support Vector Machines, k-means clustering, Random Forests, Collaborative filtering to recommendation system, Mahout on Hadoop and Amazon EMR, etc.

Objectives

Answer: After the completion of Apache Mahout Course at Edureka, you should be able to: 1. Gain an insight into the Machine Learning techniques. 2. Understand the algorithms of SVM, Naive Bayes, Random Forests,etc. 3. Implement these using 'Apache Mahout' 4. Understand the recommendation system 5. Learn Collaborative filtering, Clustering and Categorization 6. Analyse Big Data using Hadoop and Mahout 7. Implementing a recommender using MapReduce 8. Introduction to tools like Weka, Octave, Matlab, SAS

Who should go for this course?

Answer: This course is designed for all those who are interested in learning machine learning techniques in big data domain and write intelligent applications using Apache Mahout. The following professionals can go for this course : 1. Analytics Professionals 2. Data Scientists looking to hone their machine learning skills 3. Software Developers and Architects 4. Business Analysts wanting to learn Mahout for ML implementation 5. Professionals working with R, Matlab, Python, etc. 6. Statisticians looking to learn machine learning techniques 7. Graduates aspiring to take a leap in analytics domain

Pre-requisites

Answer: The basic Java and Hadoop knowledge is recommended and not mandatory as these concepts will also be covered during the course.

Why Learn Machine Learning with Mahout?

Answer: In the modern information age of exponential data growth, the success of companies and enterprises depends on how quickly and efficiently they turn vast amounts of data into actionable information. Whether it's for processing hundreds or thousands of personal e-mail messages a day or driving user intent from petabytes of weblogs, the need for tools that can organize and enhance data has never been greater. Therein lies the premise and the promise of the field of machine learning and Apache Mahout.

How will I execute the practicals?

Answer: For your practical work, we will help you setup Edureka's Virtual Machine in your System. This will be a local access for you. The required installation guide is present in LMS.

What if I miss a class?

Answer: "You will never miss a lecture at CertAddda You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"

How soon after Signing up would I get access to the Learning Content?

Answer: Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

What if I have queries after I complete this course?

Answer: Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Do I get any assistance from CertAdda to fill up the application form?

Answer: Yes, we will guide you on how to apply & fill up the ACP® application form in PMI® website. You can use the following link to apply for examination: Apply for Exam

Will I get placement assistance?

Answer: To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"create your resume\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" option.

Is the course material accessible to the students even after the course training is over?

Answer: Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Who are the instructors?

Answer: All the instructors at CertAdda are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by CertAdda for providing an awesome learning experience to the participants.

What if I have more queries?

Answer: You can give us a CALL at +91 8178510474 / +91 9967920486 OR email at admin@certadda.com