Walker Rowe

Walker Rowe

Walker Rowe is an American freelance tech writer and programmer living in Chile. He specializes in big data, analytics, and cloud architecture. Find him on LinkedIn or at Southern Pacific Review, where he publishes short stories, poems, and news.

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...]

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...]

Intro to Amazon Machine Learning with Logistic Regression

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Here we look at Amazon's Machine Learning cloud service. In this first article we will look at logistic regression. In future blog posts we will see what other algorithms it offers. Remember that logistic regression is similar to linear regression. It looks at a series of independent variables and calculates one dependant variable. If the … [Read more...]

Amazon Machine Learning and Analytics Tools

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Here we begin our survey of Amazon AWS cloud analytics and big data tools. First we will give an overview of some of what is available. Then we will look at some of them in more detail in subsequent blog posts and provide examples of how to use them. Amazon's approach to selling these cloud services is that these tools take some of the … [Read more...]