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...]

Google Natural Language API and Sentiment Analysis

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Here we discuss Natural Language processing using the Google Natural Language API. Our goal is to do sentiment analysis. Definition Sentiment analysis means seeing whether what someone writes is positive or negative. Business can use this to look at Twitter, Yelp, or whoever offers a API and then change their marketing, practices, or even reach … [Read more...]

Redis Data Types

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Redis has these data types: Binary-safe strings Lists Sets Sorted sets Hashes Bit arrays HyperLogLogs Here, we briefly explain each of these. Redis keys The first element of any Redis data structure is a key. One notable difference with Redis than other systems is that they you can set keys to expire after a certain … [Read more...]

Supervised vs Unsupervised AIOps Machine Learning

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AIOps Machine Learning

This post explains the difference between “supervised” and “unsupervised” machine learning in the context of Artificial Intelligence for IT Operations (AIOps). I’ll define the difference between the two, briefly discuss application considerations and share a couple of IT-specific examples. What is “machine learning”? Machine Learning (ML) is … [Read more...]