Machine Learning and Deep Learning

Machine Learning solutions on Amazon Web Services. Including Amazon EC2 Deep Learning AMI and frameworks, Amazon SageMaker and AI Services. All AWS ML material is at https://ml.aws .

Background material on Machine Learning

User Interfaces and Jupyter Notebooks

Frameworks in AWS Machine Learning AMIsReference
MXNet https://aws.amazon.com/mxnet/
TensorFlow https://www.tensorflow.org/
Caffe2 https://www.caffe2.ai/
Torch https://github.com/torch
Keras https://keras.io/
Theano http://deeplearning.net/software/theano/
Caffe http://caffe.berkeleyvision.org/
Microsoft Cognitive Toolkit (CNTK) https://www.microsoft.com/en-us/cognitive-toolkit/
Additional Algorithms and Tools Reference
XGBoost. Maintained by the distributed machine learning council (DMLC) https://xgboost.ai
Protobuf defined: https://en.wikipedia.org/wiki/Protocol_Buffers

MXNet, Pytorch, Tensorflow, Programming Styles

Amazon SageMaker

Algorithms

Reinforcement Learning

Test Data Sets and Resources for Deep Learning

Feature Engineering and Tuning

AWS Services for Machine Learning and Deep Learning

Deploying Machine Learning Models

TECHNICAL BLOGS and PRESENTATIONS

CUSTOMER REFERENCES