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Course content

About Apache Mahout

  • Overview of Apache Mahout and its role in big data analytics
  • Understanding the machine learning ecosystem
  • Use cases for Apache Mahout in data mining and machine learning
  • Installation and setup of Mahout
  • Introduction to machine learning and types of learning (supervised, unsupervised, reinforcement)
  • Overview of algorithms used in Mahout
  • Data preprocessing and feature selection techniques
  • Understanding the importance of data quality in machine learning
  • Data loading and transformation using Mahout
  • Working with different data formats (CSV, JSON, etc.)
  • Techniques for cleaning and preprocessing data
  • Creating and manipulating distributed datasets in Mahout
  • Understanding the principles of collaborative filtering
  • Implementing user-based and item-based collaborative filtering algorithms
  • Evaluating recommendation systems using Mahout
  • Case studies of recommendation systems in real-world applications
  • Introduction to clustering concepts and algorithms
  • Implementing K-means clustering in Mahout
  • Exploring other clustering algorithms (Mean Shift, DBSCAN, etc.)
  • Evaluating clustering results and performance metrics
  • Overview of classification techniques and algorithms
  • Implementing Naive Bayes and Decision Trees in Mahout
  • Understanding Random Forest and Support Vector Machines (SVM)
  • Evaluating classification models using confusion matrices and ROC curves
  • Introduction to dimensionality reduction techniques
  • Implementing Principal Component Analysis (PCA) in Mahout
  • Understanding Singular Value Decomposition (SVD)
  • Applications of dimensionality reduction in machine learning
  • Building a recommendation engine using Mahout
  • Understanding the differences between content-based and collaborative filtering
  • Techniques for improving recommendations (matrix factorization, implicit feedback)
  • Analyzing and interpreting recommendation results
  • Overview of advanced machine learning techniques
  • Implementing neural networks and deep learning with Mahout
  • Introduction to reinforcement learning and its applications
  • Understanding scalability and performance optimization in Mahout
  • Why Should You Learn Apache Mahout Training?

    The annual salary of an Apache Mahout is $125k.

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    •   Expert-Led Training
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    •   Hands-On Learning
    •   Flexible Learning Options
    •   Affordable Course Fees
    •   Career Growth Opportunities
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    TRAINING FEATURES

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    Instructor-led Sessions

    Engage in live, interactive sessions led by industry experts, ensuring better guidance, monitoring, and flexible learning from any internet-enabled device.

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    Real-life Case Studies

    Gain practical insights through case studies based on real-world industry applications, helping bridge the gap between theory and practice.

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    Assignments

    Enhance your analytical skills and understanding with hands-on assignments designed to reinforce key concepts and practical application.

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    Lifetime Access

    Enjoy unrestricted access to course materials for a lifetime, allowing you to learn and revisit topics at your own pace.

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    24/7 Expert Support

    Get round-the-clock assistance from experienced mentors to resolve your queries and enhance your learning experience.

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    Certification

    Earn industry-recognized certification upon course completion, validating your skills and boosting your career prospects.

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    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    Students Reviews

    Explore authentic student feedback on ZebLearn’s expert-led SAP training and foreign language courses. Discover success stories from learners who earned certifications, enhanced their skills, and advanced their careers!

    Nikhil Mehta
    Software Developer
    Zeblearn India’s Apache Mahout course was incredibly useful. The hands-on labs and detailed explanations on building scalable machine learning models were top-notch. I now feel confident using Mahout for various data processing tasks.
    Ananya Sinha
    Machine Learning Engineer
    The Apache Mahout course from Zeblearn India was a game-changer for my career. The in-depth training on scalable machine learning algorithms and their implementation in Mahout has significantly enhanced my ability to build and deploy recommendation systems.
    Rajiv Kumar
    Data Scientist
    I thoroughly enjoyed the Apache Mahout course. The curriculum was well-structured and provided a solid understanding of Mahout’s features for data mining and predictive analytics. It’s been instrumental in my work with large datasets and recommendation engines.
    Sneha Patel
    Big Data Analyst
    The course on Apache Mahout was excellent. It covered everything from basic concepts to advanced applications of Mahout in machine learning. The practical exercises helped me apply what I learned to real-world scenarios effectively.
    Ritika Sharma
    Business Intelligence Specialist
    The Apache Mahout training provided by Zeblearn India exceeded my expectations. The course’s focus on recommendation algorithms and clustering techniques has been incredibly beneficial for developing advanced business intelligence solutions.

    Apache Mahout Training Program - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 19 May 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 24 May 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    29 May 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

    Enroll Now, Pay Later

    Explore Our Courses Across India - Flexible batches

    We are proud to offer our Apache Mahout Training Program services across numerous states nationwide.

    Explore Our Apache Mahout Training Program Courses Across The World

    We are proud to offer our Apache Mahout Training Program services across numerous countries worldwide.

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