AI & Machine Learning

Deeper Neural Networks Lead To Simpler Embeddings

Recent research is increasingly investigating how neural networks, being as hyper-parametrized as they are, generalize. That is, according to traditional statistics, the more parameters, the more the model overfits.

Busting Misconceptions Over AI In Manufacturing

Artificial intelligence (AI) is attracting increasing attention from manufacturers. Here are some of the popular misconceptions about this technology.

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Auto-Generating EKG Documents

This blog will review some of the best practices for generating high-quality, up-to-date documentation directly from your EKG’s metadata.

6 MINUTES READ Continue Reading »
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  • K-means Clustering And Variants

    This post describes a well-known and classical algorithm for clustering known as K-means clustering. It also coveres an advanced variant called soft k-means clustering and a robust variant that uses median instead of mean.

    10 MINUTES READ Continue Reading »

    Why Production Machine Learning Fails — And How To Fix It

    Discussing applications of ML in theory is much different than actually applying ML models at scale in production. In this article, we walk through common challenges and corresponding solutions to making ML a force multiplier for your data organization.

    6 MINUTES READ Continue Reading »

    The Chronicles Of AI Ethics: The Man, The Machine, And The Black Box

    We are barely starting to talk about the ethical foundations of ML, and as a result our society is going to have to pay the price for our slow action.

    4 MINUTES READ Continue Reading »

    Explainable AI: Do We Trust AI Enough To Make Decisions For Us?

    As more business decisions are influenced by AI, it opens numerous questions and requirements for greater oversight, transparency and ethics in how those decisions are made leading to rising demand for explainable AI.

    7 MINUTES READ Continue Reading »

    Why We Need More AI Product Owners, Not Data Scientists

    AI Product Owners need to know about the potentials and pitfalls of AI-based applications.

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    Incredible Promise Of Predictive Analytics In Streamlining Tech Support Services

    In the age of digital transformation, every business is under pressure to apply predictive analytics and other emerging technologies and deploy solutions in the most productive and streamlined ways.

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    Plug n’ Play Predictive Analysis For Business User Data Prototyping

    Think of Plug n’ Play Predictive Analysis as your secret weapon, one that every team member can utilize to your advantage.

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    AI Journalism: Possibilities, Limitations, And Outcomes

    AI journalists have shown tremendous possibility in clearing away much of the field’s hard labour: collecting data, transcribing recordings, writing fewer interesting articles, etc.

    7 MINUTES READ Continue Reading »

    Why ‘Learn To Forget’ In Recurrent Neural Networks

    This post will be useful to readers who’d like to understand how simple RNNs work, how an enhanced version with a forgetting mechanism works, GRU in particular, and how the latter improves upon the former.

    6 MINUTES READ Continue Reading »