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.
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...]
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...]
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...]
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...]
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...]
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...]
There are many machine learning frameworks. Given that each takes much time to learn, and given that some have a wider user base than others, which one should you use? Here we look briefly at some of the major ones. In picking a tool, you need to ask what is your goal: machine learning or deep learning? Deep learning has come to mean using … [Read more...]
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...]
Architecture Redis is a distributed in-memory database. It stores data in key, value pairs. There are no tables, schema, or collections. Redis processes data in memory but stores it on disk. Processing it in memory means it is very fast, because there are no mechanical moving parts as there is no disk I/O. Of course in memory processes that … [Read more...]
One way to boost the performance of Redis is to put all records with the same keys into the same node. In that case only one node needs to be read when looking for values with that key. Here we explain the principles behind that. Suppose you want to separate customers, employees, and vendors into separate nodes. The way to do that would be … [Read more...]