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October 12, 2022

Understanding and Combining the Power of Data Science, Machine Learning, and Analytics

Data science, machine learning, and analytics all help organizations understand their data and make effective decisions. Each discipline is effective on its own, but what happens...
October 5, 2022

Proactive Data Ethics: How to Beat Bias and Stay Explainable

You might expect us to begin this article with a definition of data ethics. Instead, however, let’s start by examining the two words on their own....
July 20, 2022

Getting Data Ready for Data Science with Delta Lake

Machine learning algorithms have progressed through many advancements over the past decade. Despite these innovations, data scientists still experience many challenges when building data science applications....
March 23, 2022

How to Architect a Fitness Tracker App with TomTom Maps

You probably use — or are at least familiar with — fitness tracking apps like Strava and RunKeeper. But what would it take to build one?...
March 26, 2020

Dog Mood Detector with Google Cloud and Arm-based Raspberry Pi

In this article we explore one possible audio-based ML application enabled by the power of an Arm-based mobile device....
March 24, 2020

Automatic Trash Classification with Raspberry Pi and Arm NN Machine Learning

In this article we'll use Arm NN APIs to classify images of trash from a webcam attached to a Raspberry Pi....
July 11, 2019

Adding Augmented Reality to an ML Kit-Powered Android App

In this article, we are going to build off what we learned and see how we can add AR capabilities based on the information we got...
April 17, 2019

An Introduction to Convolutional Neural Networks and Deep Learning with Caffe

This article provides an introduction to using CNN and DL technology with the Caffe framework....
April 11, 2019

Serverless Computing: An Introduction to FaaS with Machine Learning

In this article we’ll look at some advantages of serverless computing and then dig into a real-world example using the Microsoft Azure Functions service to build...
March 25, 2019

Using RQA and Neural Networks to Analyze Complex Time Series

In this article, I will discuss two of those tools -- artificial neural networks and Recurrence Quantification Analysis (RQA) -- and how you can combine them...
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