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Software Classification Certification Test

51 Ratings

Topics covered - Syllabus

  • advantages and limitations
  • algorithms- svm
  • algorithms- tuning
  • alpha-beta pruning
  • analytics
  • applications- text mining
  • artificial NN- neural network
  • assumption- Manifold assumption
  • Bayesian network
  • binomial distribution
  • Boosted trees
  • Breadth first search
  • classification- supervised learning, unsupervised learning
  • Clustering
  • component analysis
  • convolutional NN- neural network
  • cross validation
  • data pipeline
  • data separation
  • decision trees
  • deep learning
  • deep neural networks
  • deep nn
  • Depth first search
  • dev error
  • distance metrics
  • face recognition
  • factor model
  • fault tolerance
  • fault tolerant system
  • forest method
  • future
  • gpgpu and cuda
  • Interpolation
  • k-mean clustering
  • logistic regression
  • markov model
  • neural network- fully connected
  • neural network- partially connected
  • nlp
  • nosql
  • opencv, computer vision
  • outlier treatment
  • overview
  • pattern recognition
  • perceptron
  • probabilistic graphical model
  • probability distribution
  • Python- data science
  • R- feature exploration
  • recommender system
  • recurrent NN- neural network
  • regression
  • reinforcement learning
  • semi supervised learning
  • softwares
  • statistical analysis- model
  • statistical language model
  • supervised learning
  • test error
  • training data
  • training error
  • transduction
  • transfer learning
  • types

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35882

Total Passed - 14021

Total Failed - 21861

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