Difference between revisions of "Algorithms"
| Line 4: | Line 4: | ||
* [[Google DeepMind AlphaGo Zero]] | * [[Google DeepMind AlphaGo Zero]] | ||
* [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://www.youtube.com/watch?v=BfowBtIxNu4 Top 5 Algorithms used in Data Science] | ||
* [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] | ||
* [http://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice How to choose algorithms for Microsoft Azure Machine Learning | Microsoft] | * [http://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice How to choose algorithms for Microsoft Azure Machine Learning | Microsoft] | ||
Revision as of 21:27, 19 July 2018
- Hyperparameters
- Google DeepMind AlphaGo Zero
- A guide to machine learning algorithms and their applications
- Top 5 Algorithms used in Data Science
- Outline of machine learning | Wikipedia
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
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
