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Featured Blog Posts – July 2019 Archive (84)

If not mean-variance finance, then what?

I want to apologize to my small audience for being so long in waiting to post a blog post.  My goal had been one per week, but life intervened in the meantime.  While I have tried to be productive, the blog post fell by the wayside. 

 

I did write a couple of short stories, I must confess.  I wrote How to Engage in Counterespionage Operations Against Ghosts because I grew up watching Sherlock Holmes movies and the Twilight Zone.  I wrote a small set of short stories…

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Added by David Harris on July 16, 2019 at 12:45pm — No Comments

The Case For Modern Microservice Applications: Foxes vs. pigeons vs. groundhogs

When trying to implement informed business solutions, what you see is all there is (WYSIATI), which can result in being “data-nearsighted.” For this reason, it is crucial to have a comprehensive data strategy in order to make better business decisions and implement efficient business solutions…

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Added by Aaron Daniel Burciaga on July 16, 2019 at 11:11am — No Comments

5 Reasons You Need a Better Data Management Solution

Congratulations.
It took time, but you’re data-driven. You’ve got data scientists to crunch numbers, a fully stocked data lake, and analysts to make it all make sense. But even with the infrastructure in place, benefiting from data isn’t as easy as flipping a switch. These days, businesses have yet to properly…
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Added by Lewis Wynne-Jones on July 16, 2019 at 5:00am — No Comments

How IoT Is Shaping the Agriculture Sector: Benefits Offered by Latest Trends of IoT



With the changing streams of today's technology, business sectors are gaining various benefits from the latest trends. As the modern world has adopted modern approaches, many sectors have undergone a huge transformation and agriculture is one of them which has got this opportunity to upgrade most of their approaches to…

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Added by Smith Johnson on July 16, 2019 at 2:00am — No Comments

The Mathematics behind Artificial Intelligence and Deep Learning

"The book of nature is written in the language of mathematics!" - Galileo.

Each has their own journey through the deep woods of AI & ML. My own exploration has had many stops and starts, stumbles and falls and change in direction. Along the way I have been picked up and helped along by…

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Added by Jai Sharma on July 15, 2019 at 1:30pm — 1 Comment

Thinking about Moving Up to Automated Machine Learning (AML)

Summary: Are you wondering about moving up to Automated Machine Learning (AML)?  Here are some considerations to help guide you.

 

Are you wondering about moving up to Automated Machine…

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Added by William Vorhies on July 15, 2019 at 7:30am — No Comments

How to learn the maths of Data Science using your high school maths knowledge - Gradient Descent

This post is a part of my forthcoming book on Mathematical foundations of Data Science.

In the previous blog, we saw how you could use basic high school maths to learn about the workings of data science and artificial intelligence

In this post we extend that idea to learn about Gradient descent

We…

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Added by ajit jaokar on July 14, 2019 at 12:30pm — No Comments

Return of the Thriller “3 Horizons of Digital Transformation”

In “Importance of Thinking Differently…Hint: Don’t Pave the Cow Path”, I introduced the concept of the “3 Horizons of Digital Transformation.”  I wanted to provide a framework that helped organizations differentiate between “Digitalization” versus “Digital Transformation”.  Unfortunately, in succeeding client engagements, I realized I did a crappy job of explaining these 3…

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Added by Bill Schmarzo on July 13, 2019 at 12:25pm — No Comments

Bayesian Machine Learning

Bayesian Machine Learning (part - 3)

 

Bayesian Modelling

In this post we will see the methodology of building  Bayesian models. In my previous post I used a Bayesian model for linear regression. The model looks like:…

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Added by Ashutosh vyas on July 13, 2019 at 3:28am — No Comments

Data Science Central Monday Digest, July 15

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this…

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Added by Vincent Granville on July 12, 2019 at 6:30am — No Comments

How do I prepare for Data Scientist interviews?

If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…

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Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments

Machine Learning in Agriculture: Applications and Techniques

Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and…

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Added by Max Ved on July 10, 2019 at 8:30am — No Comments

Comparing Model Evaluation Techniques Part 1: Statistical Tools & Tests

Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to create your model, the end result may not be what you expected. Which metric you use to test your model depends on the type of data you’re working with and your comfort level with statistics.

Model evaluation techniques answer three main questions:

  1. How well does your model match your data (in other words, what is the…
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Added by Stephanie Glen on July 10, 2019 at 5:30am — 2 Comments

Ten Machine Learning Algorithms You Should Know to Become a Data Scientist

machine learning algorithms



Machine Learning Practitioners have different personalities. While some of them are “I am an expert in X and X…

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Added by Shaily Baheti on July 9, 2019 at 11:00pm — 2 Comments

Smart Farming, or the Future of Agriculture

We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale.…

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Added by Max Ved on July 9, 2019 at 2:41pm — No Comments

New MOOC on Coursera on Data Science for Business Innovation for non-IT Professionals

The course "Data Science for Business Innovation" is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation.

It consists of introductory lectures spanning big data, machine learning, data valorization and communication for a non-technical audience.

You can register for free on Coursera at this…

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Added by Marco Brambilla on July 9, 2019 at 4:30am — No Comments

Enter the Era of Terabyte Memory

Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules change the way we think about memory capacity, tiered memory, out-of-core algorithms, storage speed, and essentially what we can do on a computational “fat node” and with persistent storage.

With a growing ecosystem of more than 50 OEMs, ISVs and cloud service providers are exploring what is possible given the touted three-fold…

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Added by Rob Farber on July 8, 2019 at 1:51pm — No Comments

State of #AI 2019 Report

I highly recommend  the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth

The report is free and you can download it at stateofai 2019

The report is kind of Mary Meeker theme for AI for me i.e. a great reference…

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Added by ajit jaokar on July 8, 2019 at 9:04am — 2 Comments

Privacy and AI - How Much Should We Really Care

Summary:  More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it.  The public seems divided.  Targeted advertising is good but the increased invasion of privacy is bad.

 

Headlines are full of alarm.  The public is up in arms.  The internet is stealing their privacy.  Indeed, the Future of Humanity Institute at Oxford rates this as the most…

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Added by William Vorhies on July 8, 2019 at 7:30am — 1 Comment

The Importance of Community in Data Science

Nobody is an island. Even less so a data scientist. Assembling predictive analytics workflows benefits from help and reviews: on processes and algorithms by data science colleagues; on IT infrastructure to deploy, manage and monitor the AI-based solutions by IT professionals; on dashboards and reporting features to communicate the final results by data visualization experts; as well as on automatization features for workflow execution by system administrators. It really seems that a…

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Added by Rosaria Silipo on July 8, 2019 at 6:00am — No Comments

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