Apache mahout is a source system which is used to create scalable machine learning algorithms. It is a framework that is designed to implement algorithms of mathematics, statistic, algebra, and probability. The certification course covers topics like; recommendation engine, Hadoop, mahout, amazon EMR, and clustering. The apache mahout training and certification make Hadoop distributed file system faster and easier to turn into a big information. In short, this certification is a library for scalable machine learning. To acquire more details or enroll visit, Proict training.com today!
Who should pursue this course?
This Artificial Intelligence Certification course is ideal for following professions given below:
- Analytics professionals
- Analytics professionals
- Data scientists
- Software developer and architectures
- Business analysts
- Professionals working with python
- Statisticians
The Apache mahout certificate covers the following topics:
- Introduction to Machine Learning and Apache Mahout
- Mahout and Hadoop
- Recommendation Engine
- Implementing a recommender and recommendation platform
- Clustering
- Classification
- Mahout and Amazon EMR
- Project
Objectives of the Apache Mahout certification
The apache mahout certification course consists of some objectives which are given below:
- Analyze big data using Hadoop and mahout
- Learn the concepts of logistic regression
- Understand machine learning techniques with a mahout
- Understand the algorithms of SVM, Naïve Bayes, random forests, etc.
Benefits to take Apache mahout certification
Through this course you will able to:
- Develop factor levels
- Develop measurable algorithms
- Access many premade algorithms
- Provide fault tolerance in case of failure
- Access to a math experimental environment
- Maintain the extensive programming framework
Prerequisites
There are no formal requirements to take this course but it’s good to have basic java and Hadoop knowledge.
What is the duration of course?
The artificial intelligence is the 10 hours course.
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