Introduction to Probabilistic programming
Last week, I saw a nice presentation on Probabilistic Programming from a student in Iran (link below). I am interested in this subject for… Read More »Introduction to Probabilistic programming
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Machine Learning
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Distributed Artificial Intelligence with InterSystems IRIS
What is Distributed Artificial Intelligence (DAI)? Attempts to find a bullet-proof definition have not produced result: it seems like the term is slightly ahead of… Read More »Distributed Artificial Intelligence with InterSystems IRIS
Can Deep Learning Address Limited Bandwidth and Other Video Streaming Challenges?
We all experience video streaming issues, probably on a daily basis. But now that people aren’t just streaming for entertainment, but are relying on it… Read More »Can Deep Learning Address Limited Bandwidth and Other Video Streaming Challenges?
The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models
This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models In the previous blog… Read More »The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models
Why Data Cleansing is Must for Predictive Modeling?
Image Source: istockphoto Wouldn’t it be nice to have a sneak-peek into the future of your business to make informed decisions and eliminate guesswork? With… Read More »Why Data Cleansing is Must for Predictive Modeling?
What is automated machine learning (AutoML)?
Automated machine learning (AutoML) signifies a fundamental shift in how organizations of all sizes strategy machine learning and information science. Implementing conventional machine learning approaches… Read More »What is automated machine learning (AutoML)?
Plug n' Play Predictive Analysis for Business User Data Prototyping
Whether your business is a small, single location brick and mortar enterprise or a large, multi-facility organization that spans the global market, you need access… Read More »Plug n' Play Predictive Analysis for Business User Data Prototyping
A Plethora of Machine Learning Articles: Part 1
Source: see here In Part 1 of this short series, I have included the most interesting articles that I wrote in the last few years.… Read More »A Plethora of Machine Learning Articles: Part 1
AI Chatbots: What to Expect When You Use Them
Artificial Intelligence (AI) chatbots are now integral to communication strategies in most organizations. They’ve become a human alternative for common query resolutions. But why? They… Read More »AI Chatbots: What to Expect When You Use Them
New Hybrid PCA-Based Facial Age Estimation Using Inter-Age Group Variation-Based Hierarchical Classifier
This article was written by Tapan Kumar Sahoo & Haider Banka. Abstract In this paper, we propose hybrid principal component analysis (HPCA) to extract appearance feature… Read More »New Hybrid PCA-Based Facial Age Estimation Using Inter-Age Group Variation-Based Hierarchical Classifier