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Featured Blog Posts – May 2018 Archive (84)

An ML Framework

A machine learning solution can be broadly divided into 3 parts. A typical ML exercise would involve experimentation and iteration of all the 3 parts together and/or 1 of the 3 parts before arriving at a solution.

1. Pre-Processing: Preparation of data for modeling.You are the best judge of what needs to be done, but here are some considerations:

  • What is my expected output and what's the nature and size of data I have at my disposal? Is it a binary - 0 or…
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Added by Uday Krishna on May 2, 2018 at 4:30am — No Comments

Building a Data Democracy


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Added by Laura Ellis on May 1, 2018 at 7:00pm — 1 Comment

My Favorite Statistical Procedure? Frequencies!

At a conference I attended a few years ago, a data scientist on a round table discussion replied to a question of what she considered the most important mathematical function in her work with: "the division operator". That clever response provided grist for my later answer to a similar question on my favorite statistical procedure: "frequencies and…

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Added by steve miller on May 1, 2018 at 8:00am — 1 Comment

Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP Predictions

Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged.  Temporal Convolutional Nets (TCNs) which are our workhorse CNNs with a few new features are outperforming RNNs on major applications today.  Looks like RNNs may well be history.

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Added by William Vorhies on May 1, 2018 at 7:29am — 1 Comment

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