Difference between revisions of "Algorithms"
| Line 11: | Line 11: | ||
* [[Evaluation Measures - Classification Performance]] | * [[Evaluation Measures - Classification Performance]] | ||
* [[Google DeepMind AlphaGo Zero]] | * [[Google DeepMind AlphaGo Zero]] | ||
| + | * [[Google AIY Projects Program]] | ||
* [http://www.sas.com/en_gb/insights/articles/analytics/machine-learning-algorithms.html A guide to machine learning algorithms and their applications] | * [http://www.sas.com/en_gb/insights/articles/analytics/machine-learning-algorithms.html A guide to machine learning algorithms and their applications] | ||
* [http://en.wikipedia.org/wiki/Outline_of_machine_learning Outline of machine learning | Wikipedia] | * [http://en.wikipedia.org/wiki/Outline_of_machine_learning Outline of machine learning | Wikipedia] | ||
Revision as of 19:29, 2 March 2019
YouTube search... ...Google search
- Hyperparameters
- Evaluation Measures - Classification Performance
- Google DeepMind AlphaGo Zero
- Google AIY Projects Program
- A guide to machine learning algorithms and their applications
- Outline of machine learning | Wikipedia
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
- Machine learning models for AIY kits | AIY
- Monte Carlo (MC) Method
Architecture:
- Variables type
- Variable scaling
- Cost function
- Type of neural network - CNN, RNN, FFN
- Number of layers, hidden
- Type of layers
- LSTM, Dense, Highway
- Convolutional
- Pooling
- Weight initialization type
- Number of nodes
- Type of activation function - linear, Sigmoid, ReLU
- Dropout rate (or not)
- Threshold
Neural Networks
Top Algorithms
AI Knowledge Map: How To Classify AI Technologies | Francesco Corea - KDnuggets
