50 Hrs
3452+ Enrollments
Apache Mahout Training
This training program is designed for data analysts, data scientists, and developers who want to learn how to use Mahout to build scalable and efficient machine learning solutions. The course covers topics such as data preparation, clustering, classification, recommendation engines, and more. You will learn how to use Mahout to build scalable and efficient machine learning models that can be applied to real-world problems.
Apache Mahout Training
Overview of Course
Our Apache Mahout Training is a comprehensive course designed to provide you with in-depth knowledge of Mahout, a popular machine learning library used for clustering, classification, and collaborative filtering. Through this training, you will learn how to use Mahout to build powerful machine learning models and algorithms that can be applied to real-world problems.
Course Highlights
Hands-on experience in building machine learning models using Mahout
Understanding of clustering, classification, and recommendation engines
Techniques for data preparation and feature engineering
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
-
Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
-
Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
-
World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
-
Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
-
Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Proficiency in Apache Mahout and its applications
Ability to build machine learning models using Mahout
Understanding of clustering, classification, and recommendation engines
Knowledge of data preparation and feature engineering
Experience in building scalable and efficient machine learning solutions using Mahout
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Machine Learning Fundamentals
- Apache Mahout Basics
- History of Mahout
- Supervised and Unsupervised Learning techniques
- Mahout and Hadoop
- Introduction to Clustering and Classification.
- Mahout on Apache Hadoop
- Setup Mahout and Myrrix.
- Recommendations using Apache Mahout
- Introduction to Recommendation systems
- Content 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
- Log likelihood Similarity
- Tanimoto Evaluating
- Recommendation Engines (Online and Offline)
- Recommendors in Production.
- Clustering
- Common Clustering Algorithms in Apache mahout training
- K-means Canopy Clustering
- Fuzzy K-means and Mean Shift etc.
- Representing Data Feature Selection
- Vectorization in Apache Mahout training
- Representing Vectors
- Clustering documents through example TF-IDF and Implementing clustering in Hadoop Classification.
- Examples
- Basic 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 and SAS
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Data analysts
- Data scientists
- Developers
Prerequisite:
- Basic understanding of machine learning concepts
- Familiarity with programming concepts and languages such as Java or Python
Benefits of the course:
- Hands-on experience in building machine learning models using Mahout
- Knowledge of clustering, classification, and recommendation engines
- Techniques for data preparation and feature engineering
- Best practices for building scalable and efficient machine learning solutions using Mahout
- Certificate of completion from Skillzcafe
Exam details to pass the course:
- There is no exam to pass the course.
- The course is designed to provide hands-on experience and practical knowledge of Apache Mahout.
Certification path:
- There are no specific certifications needed to learn this course.
- However, the course completion certificate from Skillzcafe can add value to your resume and help you showcase your knowledge and skills in Apache Mahout.
Career options:
- Machine learning engineer
- Data scientist
- Data analyst
- Big data engineer
- Software developer
Why should you take this course from Skillzcafe:
Comprehensive course content with hands-on experience- Experienced trainers with industry expertise
- Flexible learning options with 24/7 access to course materials
- Certificate of completion from Skillzcafe
- Affordable course fees
FAQs
The course duration is 50 hours.
Yes, you will receive a certificate of completion from Skillzcafe upon finishing the course.
Yes, you will have lifetime access to the course materials, including videos, presentations, and exercises.
The course fee varies depending on the mode of delivery and other factors. Please visit the Skillzcafe website for more information on course fees and enrollment.
Provide your workforce with top-tier corporate training programs that empower them to succeed. Our programs, led by subject matter experts from around the world, guarantee the highest quality content and training that align with your business objectives.
-
1500+
Certified Trainers
-
200+
Technologies
-
2 Million+
Trained Professionals
-
99%
Satisfaction Score
-
2000+
Courses
-
120+
Countries
-
180+
Clients
-
1600%
Growth
Live Chat