The following pages link to Nathaniel Rochester (computer scientist)
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View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)- Artificial intelligence (links | edit)
- List of artificial intelligence projects (links | edit)
- Amdahl's law (links | edit)
- Claude Shannon (links | edit)
- Chorded keyboard (links | edit)
- Convolution (links | edit)
- EDSAC (links | edit)
- Hash table (links | edit)
- Neural network (machine learning) (links | edit)
- Parameter (links | edit)
- Speech recognition (links | edit)
- 1956 (links | edit)
- Optical character recognition (links | edit)
- Reinforcement learning (links | edit)
- IBM 704 (links | edit)
- Sigmoid function (links | edit)
- IBM 7030 Stretch (links | edit)
- Overfitting (links | edit)
- Robot control (links | edit)
- IBM 701 (links | edit)
- Gradient descent (links | edit)
- Handwriting recognition (links | edit)
- Machine learning (links | edit)
- Self-driving car (links | edit)
- Gene Amdahl (links | edit)
- John McCarthy (computer scientist) (links | edit)
- Nathaniel Rochester (links | edit)
- MIT Computer Science and Artificial Intelligence Laboratory (links | edit)
- Amdahl Corporation (links | edit)
- Randomized algorithm (links | edit)
- Artificial general intelligence (links | edit)
- IBM Fellow (links | edit)
- Facial recognition system (links | edit)
- 1956 in science (links | edit)
- Cluster analysis (links | edit)
- Regression analysis (links | edit)
- History of programming languages (links | edit)
- Dartmouth workshop (links | edit)
- Stochastic gradient descent (links | edit)
- Q-learning (links | edit)
- Backpropagation (links | edit)
- Autoregressive model (links | edit)
- Conjugate gradient method (links | edit)
- Training, validation, and test data sets (links | edit)
- Diffusion process (links | edit)
- Recurrent neural network (links | edit)
- Language model (links | edit)
- Regularization (mathematics) (links | edit)
- Multilayer perceptron (links | edit)
- History of artificial intelligence (links | edit)