Apache PySpark Tutorial
Introduction
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core.
AWS Comprehend
Introduction
Discover insights and relationships in text
AWS Comprehend Lab
AWS Comprehend
Sentiment Analysis by RNN
US Stock Market Prediction
Keras Tutorial
Introduction
About Keras
Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research.
Keras is:
Simple – but not simplistic. Keras reduces developer cognitive load to free you to focus on the parts of the problem that really matter.
Flexible – Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy, while arbitrarily advanced workflows should be possible via a clear path that builds upon what you’ve already learned.
Powerful – Keras provides industry-strength performance and scalability: it is used by organizations and companies including NASA, YouTube, or Waymo.