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Machine Learning Test (Advance Level)

219 Ratings

Topics covered - Syllabus

  • Algorithms
  • Application
  • Assumption
  • Bayesian network
  • Binary classification
  • classification
  • Clusters
  • Cross Validation
  • Decision tree
  • Deep Learning
  • Distribution
  • Drone control and Adaptive controller
  • Face Detection
  • Graph based learning
  • heuristic approach
  • Human Detection
  • Image processing
  • Inference
  • Interpolation
  • K-mean cluster
  • Machine Learning
  • Machine model
  • Mapreduce
  • ML
  • Neural network
  • Object Recognition
  • Pattern Recognition
  • Perception
  • Perceptron
  • probability distribution
  • Querying
  • Recommender systems
  • Regression
  • Reinforcement learning
  • Relational evaluation techniques
  • Sensor fusion algorithm
  • Statistical analysis
  • SVM
  • trees
  • Usecase

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Total Tested

14144

Total Passed - 5405

Total Failed - 8739

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