Machine Learning & Big Data

What is Refactoring? Code Refactoring Explained

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  Code refactoring means to take a working program and change it to make some improvements. It changes the code but not the outcome. These improvements can: make it easier for other programmers to read make aesthetic improvements such as implement a clever idea make the program run faster or use less resources adhere to … [Read more...]

Introduction to Google Cloud Machine Learning Engine

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The Google Cloud Machine Learning Engine is almost exactly the same as Amazon Sagemaker. It is not a SaaS program that you can just upload data to and start using like the Google Natural Language API. Instead, you have to program Google Cloud ML using any of the ML frameworks such as TensorFlow, scikit-learn, XGBoost, or Keras. Then Google spins up … [Read more...]

What is AI-as-a-Service? AIaaS Explained

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We’ve all heard of IaaS and SaaS before. These terms have become ubiquitous for infrastructure-as-a-service and software-as-a-service. Another variant is PaaS, short for platform-as-a-Service. Today, most companies are using at least one type of “as a service” offering as a way to focus on their core business and spend less money on an important … [Read more...]

AWS Linear Learner: Using Amazon SageMaker for Logistic Regression

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In the last blog post we showed you how to use Amazon SageMaker. So read that one before you read this one because there we show screen prints and explain how to use the graphical interface of the product, including its hosted Jupyter Notebooks feature. We also introduced the SageMaker API, which is a front end for Google TensorFlow and other … [Read more...]

Getting Started with Amazon SageMaker: A Hands-On Introduction

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Amazon SageMaker is a managed machine learning service (MLaaS). SageMaker lets you quickly build and train machine learning models and deploy them directly into a hosted environment. In this blog post, we’ll cover how to get started and run SageMaker with examples. One thing you will find with most of the examples written by Amazon for SageMaker … [Read more...]

Linear Regression with Amazon AWS Machine Learning

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Here we show how to use Amazon AWS Machine Learning to do linear regression. In a previous post we explored using Amazon AWS Machine Learning for Logistic Regression. To review, linear regression is used to predict some value y given the values x1, x2, x3, …, xn. in other word it finds the coefficients b1, b2, b3, … , bn plus an offset c to … [Read more...]