In the last few decades, neural networks have evolved from an academic curiosity into a vast “deep learning” industry. Deep learning uses neural networks, a data structure design loosely inspired by the layout of biological neurons. These neural networks are constructed in layers, and the inputs from one layer are connected to the outputs of […]
What Is KNN Classification and How Can This Analysis Help an Enterprise?
Click to learn more about author Kartik Patel. In this article, we will discuss the KNN Classification method of analysis. What Is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful for recognizing patterns […]
The Quick (and Ultimate) Guide to Regularization
Click to learn more about author Ram Tavva. May it be in statistics or mathematics or finance – particularly in machine learning and inverse problems – regularization is any modification that one makes in a learning algorithm that is intended to not reduce its training error but its generalization error. In layman’s language, we can […]
Understanding GPUs for Deep Learning
Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Deep learning algorithms are based on neural networks, which commonly have millions of parameters that need to be calculated numerous times in […]
What is the KMeans Clustering Algorithm and How is it Used to Analyze Data?
Click to learn more about author Kartik Patel. This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and […]
Data and Creativity: A Decisive Combination
Click to learn more about author Michael D. Shaw. If we separate the signal from the noise, if we translate the signal into a simple message, the words should speak for themselves. In so many words, the message should say, “Proceed with caution.” The message is not only an admonition about data but a dictum […]
No More Iris: Three Ways to Become a Better Data Scientist
Click here to learn more about Ted Kwartler. Each semester I am tempted to teach my Harvard Extension students using standard data sets like Iris or Titanic. It would be easy with so many examples floating around. Plus, the explanation of a K-Nearest Neighbor algorithm fits perfectly into an Iris world. But honestly, real-world data […]
JS Show It! Interactive Choropleth World Map Using GeoChart Visualization
Click to learn more about co-author Rosaria Silipo. Click to learn more about co-author Paolo Tamagnini. The Plot Today we want to draw the choropleth map as shown above. So, what do we need? A map of the countries of the world and the corresponding numbers of their populations A short JavaScript code to load […]
Redfin Improves Accuracy of the Redfin Estimate
A recent press release reports, “Redfin, the tech-powered real estate brokerage, today announced it has improved the accuracy of the Redfin Estimate and expanded coverage to five new metro areas and several additional property types, including land and multi-family properties. The Redfin Estimate is a calculation of a home’s worth, built on Redfin’s propriety machine […]
Case Study: Nearmap Advances AI-driven Location Intelligence
If a picture is worth a thousand words, but still missing valuable location data, then why not use artificial intelligence (AI) and machine learning (ML) to fill in the gaps? Take the image of Perth, Australia, below: This graphic below shows vast data sets containing buildings, green spaces, roads to travel, and parking lots. Drill […]