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Thursday News, May 28

Here is our selection of featured articles and resources posted since Monday:

Resources

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Added by Vincent Granville on May 28, 2020 at 10:00am — No Comments

A Fundamental Theorem for Epidemiology

The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling.

That's because models that try to replicate reality in all its detail have proven hard to steer during this crisis, leading to poor predictions despite noble and urgent efforts to recalibrate them. On the other hand overly stylized compartmental models have run headlong into paradoxes such as Sweden's herd immunity.…

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Added by Peter Cotton on May 28, 2020 at 5:30am — No Comments

New Probabilistic Approach to Factoring Big Numbers

Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few hundred digits. The two prime factors are associated with the encryption keys (public and private keys). Here we describe a new approach to factoring a big number that is the product of two primes of roughly the same size. It is designed especially to handle this problem and identify flaws in encryption algorithms.  

While at first glance it appears…

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Added by Vincent Granville on May 27, 2020 at 8:00am — No Comments

Don't Acquire a Company Until You Evaluate its Data Quality

Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity. That is only until they realized they overlooked or underestimated the key issues with data, IT infrastructure & integration plans. In fact, most merger and acquisition plans fail miserably because of data…

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Added by Farah Kim on May 26, 2020 at 8:30pm — No Comments

The Easiest Way to Search Among 1 Billion Image Vectors And Why Vector Search Is Important?

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Added by Kate Shao on May 26, 2020 at 6:00pm — No Comments

A free self-paced learning path for #machinelearning and #deeplearning

In various formats, one of the most frequent questions I am asked is the equivalent of:

“Can you recommend a free self-paced learning path for #machinelearning and #deeplearning?”

In this post, I attempt an answer

This is based on my work / teaching students primarily at Oxford University, but I…

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Added by ajit jaokar on May 26, 2020 at 1:59pm — No Comments

Analytics Translators: Fact or Fiction?

It's been two years since Mckinsey invented the term analytics translator, called it the ‘new must-have role’ and predicted we’d need around 5 million of them.

FIVE MILLION

That’s a bit more than the entire population of Los Angeles, but just slightly less than all of Norway.

For the past ten years, we’ve struggled with the ambiguous title ‘data scientist’, then ‘citizen data scientist’. Now it’s ‘analytics translator’.

Although I've seen many 'data…

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Added by David Stephenson on May 26, 2020 at 8:23am — No Comments

Simulated Statistics is the New Black

Over the years I’ve often been asked by beginners where they should start in statistics, what they should do first, and which parts of statistics they should prioritise to get them to where they want to be (which is usually a higher…

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Added by Lee Baker on May 26, 2020 at 6:30am — No Comments

Machine Learning for Frontend Development: The Road to Future

When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building models, and experimenting with the website before pushing it live.

These procedures don’t occur parenthetically. Developers spend many months on constructing a beautiful and responsive website. Be that as it may, the development in technologies is making things more manageable for them.

The cutting edge technologies like…

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Added by Albert Smith on May 25, 2020 at 8:25pm — No Comments

Data Stewardship in an AI-Driven Ecosystem: Introducing WhiteNoise

 WhiteNoise is the newly available Differential Privacy System by OpenDP.  The intent of Differential Privacy is to preserve the security of personally identifiable information & prevent against database reconstruction attacks.  The methods provided by the WhiteNoise system are part of a toolkit that enable researchers to readily enhance their existing processes with differential privacy techniques. 

The Differential Privacy System

The Differential Privacy…

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Added by alicia moniz on May 25, 2020 at 5:45pm — No Comments

Differential ML on TensorFlow and Colab

Brian Huge and I just posted a working paper following six months of…

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Added by Antoine Savine on May 25, 2020 at 11:30am — No Comments

Do You Need an AI Product Manager

Summary:  What is an AI Product Manager and how do you know when you need one.

 

The role of Product Manager (PM) can mean many things dependent on the specifics of the company, its markets, its channels, and the variety of its products.  It’s almost impossible to put a single label on the responsibilities of a…

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Added by William Vorhies on May 25, 2020 at 10:23am — No Comments

Digital Strategy Series Part I: Creating a Data Strategy that Delivers Value

Oh, the strategy pundits hate me! It’s not because I’m tall, good looking and from Iowa (well, 2 out of 3 ain’t bad), it’s because I think Strategy as a “Discipline” is way overblown.  I won’t go as far as the Harvard Business Review to state that “Strategy is Dead”, but the importance of carefully defining a strategy (typically done in the ivory towers of the puzzle palace) and then commanding all the little…

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Added by Bill Schmarzo on May 24, 2020 at 3:00pm — No Comments

Weekly Digest, May 25

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 link.  

Featured Resources and…

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Added by Vincent Granville on May 24, 2020 at 12:30pm — No Comments

Statistics Used in Data Science (A Dictionary in One Picture)

Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions is  that "...data science is the child of statistics and computer science” (Blei & Symth, 2017) . In essence, data science then is the child of two parents who speak different languages. In one sense, this makes the job of the data scientist not only to apply the knowledge from both…

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Added by Stephanie Glen on May 24, 2020 at 12:08pm — No Comments

AI superpowers – for people and jobs

 

Introduction

In this post, I argue that

  • The idea of AI Superpowers could also apply to people and not only nations.
  • Post COVID the biggest change will be the loss of the factory assembly line (the 1920s Henry Ford model and Frederick Taylor’s division of…
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Added by ajit jaokar on May 23, 2020 at 2:02pm — No Comments

Data Science in the ever-changing world

Data plays a most important role in an organization, whichever industry you work in, or whatever your interests, you will almost certainly have come across a story about how data is changing the face of our world. In general we can say data is a form of information, there are different type of data according to the organization, a company or a institute.

There are different types of data we go through daily are…

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Added by Deven Raj on May 23, 2020 at 2:19am — No Comments

Milvus: A big leap to scalable AI search engine

The challenge with data search

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Added by Kate Shao on May 22, 2020 at 11:00pm — No Comments

The Most Important Fundamentals of PyTorch you Should Know

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Added by James Montantes on May 22, 2020 at 11:00am — No Comments

Thursday News, May 21

Here is our selection of featured technical resources and articles.

Announcement

Resources

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Added by Vincent Granville on May 21, 2020 at 12:00pm — No Comments

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