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Machine Learning with Mahout

Track :

Programming

Lessons no : 28

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What will you learn in this course?
  • Develop scalable machine learning algorithms using Apache Mahout for big data analysis and predictive modeling
  • Implement clustering, classification, and recommendation systems with Mahout in real-world applications
  • Utilize Hadoop MapReduce to optimize machine learning workflows and handle large datasets efficiently
  • Apply Mahout's machine learning techniques to solve practical problems in data science and artificial intelligence
  • Configure and tune Mahout algorithms for improved accuracy and performance in diverse data environments
  • Integrate Mahout with Hadoop ecosystem components for seamless big data machine learning solutions
  • Analyze and interpret machine learning model results to inform business decisions and data-driven strategies
  • Leverage Mahout's libraries to build scalable, efficient, and customizable machine learning models
  • Understand the architecture and core concepts of Mahout for effective algorithm development and deployment
  • Troubleshoot and optimize Mahout-based machine learning projects for enhanced scalability and reliability

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Lessons | 28


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Apache Mahout is a powerful, scalable machine-learning library that runs on top of Hadoop MapReduce. It is an open source project that is primarily used for creating scalable machine learning algorithms.