Document worth reading: “Linear and Quadratic Discriminant Analysis: Tutorial”
This tutorial explains Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) as two elementary classification methods in statistical and
Read moreMonth: October 2019
How AI Imperfections Can Help Us
Artificial intelligence (AI) is enhancing in astounding strategies. The strategies that use it may normally diagnose illnesses further exactly than
Read moreThe Impact of Blockchain on the Work of Legal Firms
Among the many industries which have already been touched by blockchain, the approved sector might be one of the most
Read moreDocument worth reading: “What can the brain teach us about building artificial intelligence?”
This paper is the preprint of an invited commentary on Lake et al’s Behavioral and Brain Sciences article titled ‘Building
Read moreA Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code)
Overview A beginner-friendly introduction to the extremely efficient SIFT (Scale Invariant Feature Transform) strategy Learn how to perform Feature Matching
Read moreHow Machine Learning Is Bridging the Gap Between Brands and their Customers?
Ever since experience started blooming in the world, we’ve seen disruptions just about in every single place. Be it healthcare,
Read moreThe Future of Data: Iot-Connected Smart Homes for an Aging Population
A quantity of transient a very long time up to now, Americans assumed that the ultimate years of their lives
Read moreHow Can Blind Spots in AI Help Foster Online Privacy?
Machine learning utility has now made it doable to detect most cancers cells and create collision-proof self-driving vehicles. But, on
Read moreDocument worth reading: “Emotionally-Aware Chatbots: A Survey”
Textual conversational agent or chatbots’ progress gather tremendous traction from every academia and industries these days. Nowadays, chatbots are broadly
Read moreDeployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring
Overview What are the following steps after you’ve deployed your machine learning model? Post-deployment monitoring is a vital step in
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