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Artificial Intelligence

Explore the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

  • Neural Networks (127)
  • Training (84)
  • Natural Language Processing (46)
  • Probability and Statistics (26)
  • Image Processing (24)
  • Definition (23)
  • Convolutional Neural Networks (19)
  • Reinforcement Learning (18)

>> PCA: Principal Component Analysis

>> Introduction to Supervised, Semi-supervised, Unsupervised and Reinforcement Learning

>> Feature Scaling

>> Understanding Dimensions in CNNs

>> How ReLU and Dropout Layers Work in CNNs

>> Nonlinear Activation Functions in a Backpropagation Neural Network

>> Inadequacy of Linear Models: the Road to Nonlinear Functions

>> Genetic Algorithms vs Neural Networks

>> Predicates in Computer Science

>> Clustering Into an Unknown Number of Clusters

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