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Machine Learning Certification Test

186 Ratings

Topics covered - Syllabus

  • Adaptive clustering
  • Aerial Robotics
  • Association rule mining
  • Bayesian learning
  • Boosting algorithms
  • Computational Motion Planning
  • Computational Neuroscience
  • Estimation and Learning
  • Hebbian learning
  • Hidden Markov Models
  • Hierarchical clustering
  • Kernel methods in machine learning
  • Machine Learning Case Study Approach
  • Machine learning in bioinformatics
  • Machine Learning With Big Data
  • Nearest Neighbor Collaborative Filtering
  • Neural Networks for Machine Learning
  • Partitional clustering
  • Perception
  • Probabilistic Graphical Models
  • Q-learning
  • Support vector machines
  • Temporal difference learning
  • Text Mining and Analytics
  • Text Retrieval and Search Engines

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Total Tested

10526

Total Passed - 3989

Total Failed - 6537

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