Our Machine Learning with Mahout Certification Training will allow you to master Mahout for big data and machine learning concepts. This is a big time win-win opportunity to create an impact in the industry. The course is designed particularly for people who want to master how Mahout complements the Hadoop ecosystem. This course will equip you with knowledge to learn everything about machine learning.
With Machine learning with Mahout Certification Training, you will know SVM algorithms, Random Forests, and Native Bayes. Apache Mahout Platform implementation will become easy as you get a deep understanding of clusters and categorisation. The key topics this course covers include introduction to Apache Mahout and Machine learning, Mahout and Hadoop, Clustering, and Recommendation Engine.
In the end, you will also have to submit a project or an assignment. That will demonstrate a clear learning of basic to advanced concepts and features of machine learning. Once you learn to process large database of documents, you will feel like a precious asset in your organization to achieve sustainable competitive advantage.
Machine Learning with Mahout Certification Training is necessary to become an expert in your field. Take it as a starting point and learn advanced concepts to have a brilliant career in the industry as a data scientist or software developer.
Why You Should Take This Training at Study365?
Study365 is a leading online provider for several accrediting bodies and provides learners the opportunity to take this exclusive course awarded by Edureka. At Study365, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the Course.
Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships, and their favourite restaurants.
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lessons at any time.
This course is for anyone looking to build a career as:
Upon the successful completion of the course, you will be awarded the Certificate for 'Machine Learning with Mahout Certification Training' by Edureka.
Edureka is fastest growing online learning platform with a trusted name in the industry. The platform has the highest course completion rate and turns beliefs into realities by ridiculously committing to their students. Edureka collaborates with Study365 and many other educational bodies to provide guaranteed learning and success to global students & professionals.
You can earn and obtain this Git and Github certification by submitting an assignment that will be marked according to your expertise. The harder you work, the easier it gets to earn your certificate.
Machine Learning with Mahout Certification Training is your passageway towards a rewarding career as a data scientist or big data analyst. In this ever-changing IT industry, you can bring your skills to the table and give employers something unique with advanced learning.
Given below are job titles you can compete for, along with the average UK salary per annum according to https://www.glassdoor.com.
|1: Introduction to Machine Learning and Apache Mahout|
|Machine Learning Fundamentals|
|Apache Mahout Basics|
|History of Mahout|
|Supervised and Unsupervised Learning techniques|
|Mahout and Hadoop|
|Introduction to Clustering|
|2: Mahout and Hadoop|
|Mahout on Apache Hadoop setup|
|Mahout and Myrrix|
|3: Recommendation Engine|
|Recommendations using Mahout|
|Introduction to Recommendation systems|
|Content Based (Collaborative filtering, User based, Nearest N Users, Threshold, Item based)|
|4: Implementing a recommender and recommendation platform|
|User based recommendation|
|Item based Recommendation|
|Implementing a Recommender using Map Reduce|
|Platforms: Similarity Measures|
|Pearson’s Correlation Similarity|
|Evaluating Recommendation Engines (Online and Offline)|
|Recommendors in Production|
|Common Clustering Algorithms|
|Fuzzy K-means and Mean Shift etc|
|Clustering documents through example|
|Implementing clustering in Hadoop|
|Predictor variables and Target variables|
|Training and evaluating a Classifier|
|Developing a Classifier|
|7: Mahout and Amazon EMR|
|Mahout on Amazon EMR|
|Mahout Vs R|
|Introduction to tools like Weka|
|A complete recommendation engine built on application logs and transactions|