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July 2018 Blog Posts (88)

Use cases of Machine Learning for E-commerce enterprises

Machine learning is one of the most searched keyword on any search engine at this point of time. The reason is quite clear; the benefits of utilising it in any industry is beyond imagination. Machine learning is making computers learn from data to find patterns & generate business insights. In e-commerce, machine learning is even far more relevant because of digitally generated user-specific data points. Daily, we read so much about big companies using machine learning in their business…

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Added by PS Dhillon on July 4, 2018 at 5:00am — No Comments

Debunking Google's Death AI

Having my newsfeed cluttered with articles about Google creating an AI that beats hospitals by predicting death with 95% accuracy (or some other erroneous claim), I dug up the original research paper to fact check this wondrous new advancement. Many of said articles used this quote from the abstract (academia's equivalent of a paperback blurb):

These…
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Added by Stephen Chen on July 4, 2018 at 1:30am — 1 Comment

Exploring Kaggle Titanic data with R Packages naniar and UpSetR

Recently (6/8/2018), I saw a post about a new R package "naniar", which according to the package documentation, "provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data."  naniar is authored…

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Added by Blaine Bateman on July 3, 2018 at 10:30am — No Comments

Is it still possible today to become a self-taught data scientist?

If you are an engineer working for a company like Boeing, have processed and leveraged data extensively over years of professional experience, used data science tools and programming languages, and have success stories, you are de facto a data scientist even if you think you are not, in this case an industrial data scientist, as opposed for instance, to a marketing data scientist. And you are hireable as a data scientist.

If you have a PhD in history, has little experience…

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Added by Vincent Granville on July 3, 2018 at 9:00am — 4 Comments

3 Pillars of GDPR Compliance

The Forrester report “Predictions 2018: A year of reckoning” predicted that 80% of firms affected by the GDPR will not be able to comply with the regulation by the time it comes into force on May 25. Of those noncompliant firms, 50% will intentionally not comply.…

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Added by Amy Flippant on July 3, 2018 at 12:30am — No Comments

Articulate - Open source platform for build conversational interfaces with intelligent agents

Articulate is an open source project that will allow you to take control of you conversational interfaces, without being worried where and how your data is stored. Also, Articulate is built with an user-centered design where the main goal is to make experts and beginners feel comfortable when building their intelligent agents.

The main features of Articulate are:

  • Open source project
  • Based on…
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Added by Daniel Calvo-Marin on July 2, 2018 at 7:00pm — No Comments

ff and Too-Big-for-Memory Data in R -- Part III

After my last blog on the use of relational databases PostgreSQL and MonetDB to help compensate for R's RAM limitations, I received an email from a reader who asked if I'd ever used the R …

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Added by steve miller on July 2, 2018 at 11:30am — No Comments

AI-Driven Transformation & the Impact on Marketing

Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, it was a function hard to measure in terms of impact on the bottom-line. But then boomed the digital age, and with it, an advent of channels that came to be known as social media. And in its wake,…

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Added by Senthil Nathan R on July 1, 2018 at 11:30pm — No Comments

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