Keras is a Python framework designed to make working with Tensorflow (also written in Python)...
Author - Walker Rowe
Tuning Machine Language Models for Accuracy
Continuing with our explanations of how to measure the accuracy of an ML model, here we discuss two...
Getting Started with scikit-learn
Here we explore another machine learning framework, scikit-learn, as well as show how to use...
Spark’s Machine Learning Pipeline: An Introduction
Here we explain what is a Spark machine learning pipeline. We will do this by converting existing...
How to use Apache Spark to make predictions for preventive...
In part one we explained how to create a training model. In this part we show how to make...
Using TensorFlow Neural Network for Machine Learning Predictions...
Here is the last part of our analysis of the Tripadvisor data. Part one is here. In order to...
Introduction to Google Cloud Machine Learning Engine
The Google Cloud Machine Learning Engine is almost exactly the same as Amazon Sagemaker. It is not...
AWS Linear Learner: Using Amazon SageMaker for Logistic...
In the last blog post we showed you how to use Amazon SageMaker. So read that one before you read...
Amazon SageMaker: A Hands-On Introduction
Amazon SageMaker is a managed machine learning service (MLaaS). SageMaker lets you quickly build...
Linear Regression with Amazon AWS Machine Learning
Here we show how to use Amazon AWS Machine Learning to do linear regression. In a previous...