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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

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

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

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

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

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

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

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

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

Is the Spread of the COVID-19 Coronavirus Being Slowed?

by Mike Thurber, Principal Scientist, Elder Research

The COVID-19 pandemic has created a need for clear and actionable analytics like never before. The world can’t wait for controlled scientific studies to be completed, or dodge with, “We can’t say anything until we get more data.”…

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Added by Paul Derstine on May 4, 2020 at 5:30am — 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

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

What are “Recurrent Neural Networks”, and how it is different than “Convolutional Neural Networks”

CNN and RNN are amongst most important algorithm of Neural Network family, also they differ in their network process and solving problems.

So talking about their differences:

CNN are used to solve classification and regression problems and RNN are used to solve sequence information.

CNN are used for 2D image…

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Added by Sameer Nigam on May 21, 2020 at 12:00pm — No Comments

Coronavirus: Age and Health

by Peter Bruce, President & Founder, Statistics.com

Although there are frequent reports in the news media of young people contracting serious cases of COVID-19 and even dying, the disease in its serious form is…

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Added by Paul Derstine on May 4, 2020 at 6:12am — No Comments

Random Forest Classification explained in detail and developed in R

In supervised machine learning algorithms, Random Forest stands apart as it is arguably the most powerful classification model. When Microsoft developed their X-box game which enables you to play as per the movement of your posture, they used Random Forest over any other machine learning algorithm and over ANN (Advanced Neural Networks) as well !

I am assuming that if you are reading this blog, you are well versed with Decision Tree Classification. However, if you are not, need not…

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Added by Sourav Kumar Das on May 10, 2020 at 1:30am — No Comments

Damn Pandemic: Epidemiological Models

After being confined for 2 months and hearing the word pandemic almost daily, seeing graphs, opinions, time lines and values that rise and fall, I became curious. Firstly, what is a pandemic? Is it the same as an epidemic? A plague? Was the plague an epidemic? What do epidemiologists study? Yes, they study a discipline called epidemiology.

 

What is epidemiology?

 

Epidemiology studies the distribution, frequency, relationships, predictions, and…

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Added by Luis Hidalgo Encinas on May 19, 2020 at 9:00pm — No Comments

Quantum Bayesian Network view of hybrid quantum-classical computation

Introduction



Hybrid Quantum-Classical Computing (HQCC) (a.k.a. Variational Quantum Eigensolver (VQE)) is often touted as one of the main algorithms of Quantum AI. In fact, Rigetti, a Silicon Valley company which for several years has provided cloud access to their superconductive quantum computer, has designed its services around the HQCC paradigm.

In this brief blog post, I will explain how HQCC can be understood in terms of quantum Bayesian networks. In the process, I will…

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Added by Robert R. Tucci on May 20, 2020 at 3:06pm — No Comments

Entropy of rolling dices

The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc.

Entropy is related to the number of states that one stochastic system can take and how this system will evolve with time, in such a way that the uncertainty will be maximized.

This will happened y two ways, first, every system will choose the configuration with a higher degree of entropy among all that are available and second, if we let the system evolve, after…

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Added by Pablo Gutierrez on May 21, 2020 at 6:53am — No Comments

Leveraging Data Science to Create a COVID-19 At-Risk Score

Everyone wants to restart the economy safely.  Everyone.  The question isn’t “if”, it’s “when” and “how” and somehow that’s when politics gets involved.  So, let’s stop pointing fingers at “others” and blaming them for the world’s woes.  Now is the time to work together and create a plan to address the “when” and “how” questions.  And here’s a…

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Added by Bill Schmarzo on May 17, 2020 at 5:43pm — No Comments

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