10 Fascinating Examples of Big Data In Healthcare

Big Data has a lot of great uses in the work of consumer marketing. Experts recognize that its benefits go well beyond the needs of individual consumers. In fact, Big Data has many uses in helping patient lives in the world of healthcare. The market for big data in healthcare is growing 22% a year.
From predicting risk factors to helping cure disease, Big Data in healthcare is multi-faceted.

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How Machine Learning And Contract Management Go Together

Last year, Harvard Business Review published a great article on the ways that AI are changing contract management. Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21st Century.
Rich said that there are some challenges to utilizing AI for contracts. The biggest issue is that the majority of companies don’t retain data on their contracts.

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10 Ways Big Data Helps With Selecting The Perfect Web Hosting

Big data is essential to the modern website management field. There are a number of great ways to use big data to create stellar websites.
Most of these topics focus on the benefits of using big data to create better aesthetics and front-end designs. However, there are a lot of benefits to choosing the right web hosting provider, which is also affected by big data.

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Will Machine Learning Save The Struggling Airline Industry?

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21st Century.
The airline industry has started relying more on machine learning technology as new challenges threaten to cripple its business.

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Why I Love Scikit-learn

Scikit-learn is great because it has a clean API, is robust, fast,
easy to use, comprehensive, and well documented and supported,
released under a permissive license and the developers are cool. If
you can implement your project in Python and you don’t need massively
scalable algorithms, then it is probably for you.
Choosing a library is often a crucial task.

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Examining the arc of 100,000 stories: a tidy analysis

I recently came across a great natural language dataset from Mark Riedel: 112,000 plots of stories downloaded from English language Wikipedia. This includes books, movies, TV episodes, video games- anything that has a Plot section on a Wikipedia page.
This offers a great opportunity to analyze story structure quantitatively.

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Degrees of Freedom Analysis of Unrolled Neural Networks

** Nuit Blanche is now on Twitter: @NuitBlog ** Studying the great convergence ! Degrees of Freedom Analysis of Unrolled Neural Networks by Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John Pauly, David DonohoUnrolled neural networks emerged recently as an effective model for learning inverse maps appearing in image restoration tasks. However, their generalization risk (i.e.

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Data collection and data markets in the age of privacy and machine learning

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data.In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. My goal was to remind the data community about the many interesting opportunities and challenges in data itself.

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OOW’17 Oracle’s Machine Learning & Advanced Analytics Presentations

There were a number of great presentations  on Oracle’s Machine Learning and Advanced Analytics at Oracle Open World 2017.  Here are links to many of them.   I’ll update this list posting as I collect more and can post the great presentations and resources.

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The Best Time to Post on Instagram, Facebook, Twitter, LinkedIn, & Pinterest

Social media is one of the best ways to amplify your brand and the great content you’re creating. But it isn’t enough to just post content to social whenever you feel like it. Some times are better than others.
So, what are the best hours to post on each social media channel?
Unfortunately, there’s no perfect answer.

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Oracle’s Machine Learning presentations at Oracle Open World & Code One 2018

There were many great talks again at Oracle Open World & Code One 2018!   See the OOW’18 and Code One’18 Sessions Catalogs to see everything there.
For easy access and downloads, I’m posting my Oracle’s Machine Learning talks, abstracts, downloads and “live” recording below.

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New vtreat Documentation (Starting with Multinomial Classification)

Nina Zumel finished some great new documentation showing how to use Python vtreat to prepare data for multinomial classification mode. And I have finally finished porting the documentation to R vtreat. So we now have good introductions on how to use vtreat to prepare data for the common tasks of:
Regression: R regression example, Python regression example.

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PyCon Lithuania 2019 and a keynote on “Citizen Science with Python”

I’ve had the great pleasure of attending PyConLT 2019 – my first trip to Lithuania. I had no idea what to expect (I’ve never been to this part of Europe) – Vilnius is a lovely city full of lovely Pythonistas. There’s a bunch of lovely art hanging underneath bridges, an amazing Soviet Palace of Arts and Sports and a number of castles – it really is very lovely here.

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