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Building Up Stable Data Science Teams

Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. 

Among various reasons, the most common is the lack of a stable data science team. Due to high demand, the turnover rate is very high in data science, unfortunately. Data science managers or leaders typically go around this problem by focusing on the following:

  • acquire best data science talent
  • retain…

Added by Nasir Mahmood on May 5, 2020 at 1:30am — No Comments

For Better or Worse Analytics and Data Science are Converging

Summary:  Analytic Platforms are rapidly being augmented with features previously reserved for data scientists.  They are presented as easy to use but require substantial data literacy and advanced DS skills for the most complex.  Business users and analysts can pursue more complex problems on their own, but need good oversight.



Added by William Vorhies on May 4, 2020 at 1:06pm — No Comments

COVID-19 Social Distancing Has Mitigated 2020 Flu Season

by Mike Thurber, Principal Scientist, Elder Research

Three weeks ago, our Brief Is the Spread of the COVID-19 Coronavirus Being Slowed…


Added by Paul Derstine on May 4, 2020 at 6:02am — No Comments

Coronavirus: Age and Health

by Peter Bruce, President & Founder,

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…


Added by Paul Derstine on May 4, 2020 at 6:00am — No Comments

COVID-19 Asymptomatic Rates and Implications

by Mike Thurber, Principal Scientist, Elder Research

A key issue for COVID-19 response policies moving forward is the asymptomatic rate - people who have the virus but do not show symptoms.  If all the people who get the virus show symptoms, then despite the wide scope of the current outbreak,…


Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

Covid-19: Epidemiological Models vs. Statistical Models

by Peter Bruce, President & Founder,

Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lead project investigator at the Institute for…


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


Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

Weekly Digest, May 4

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…


Added by Vincent Granville on May 3, 2020 at 3:30pm — No Comments

3 Big Ways How AI Is Changing The Retail Industry

According to the Consumer Technology Association, AI has a lot of benefits in the retail sector from the consumer experience, minimized cost, enhanced productivity, faster resolution of business problems, quicker delivery of products and services. 

The increased AI…


Added by Ashok Sharma on May 3, 2020 at 12:52pm — No Comments

Neuromancer Blues: Threading vs Multiprocessing

Neuromancer Blues" is a series of posts where I would like the reader to find guidance about overall data science topics such as data wrangling, database connectivity, applied mathematics and programming tips to boost code efficiency, readability and speed. My examples and coding snippets will be as short and sweet as possible in order to convey the key idea instead of providing a lengthy code with poor readability that damages the purpose of the…


Added by Carlos Salas, CFA, CQF on May 3, 2020 at 12:30pm — No Comments

Randomised algorithms

Randomised algorithms are built on statistical features played by random numbers.

Quicksort is a good example to illustrate this algorithm. For instance, in a class of taller students would naturally go at the back and…


Added by Dorian.H Mekni on May 2, 2020 at 12:37am — No Comments

Don't Buy Data – Invest In It

There are some expressions about data that are getting a bit tired: Data is the new oil; In God We Trust (all others must bring data); Buy data, sell high...

Okay, you caught me, I kind of made that last one up. But, the point stands: the narrative around data tells us we all understand that it has tremendous value.

The 4 Ms of Data

Data teams are tasked with gathering information from within their company and from any number of external sources, tying it all…


Added by Tim Lysecki on May 1, 2020 at 11:30am — No Comments

Up-skilling in the Lock-down

Friday the 13th of March: day one of the Dutch corona lock-down. I was almost out the door to deliver day 4 of a data science product owner training at the University of Amsterdam, but somehow hadn’t connected the dots that the university closings announced the previous evening meant my training was also cancelled. By force of habit,…


Added by David Stephenson on May 1, 2020 at 10:30am — No Comments

COVID-19 Lesson: Digital Transformation Is an Essential Service

The COVID-19 crisis has hammered home the importance for organizations to become more digital.  And I suspect that most organizations are thinking that just means being able to support remote customer engagements and business operations.  But that’s not nearly sufficient.  Organizations that are thriving during COVID-19 are those that have gone beyond just “digitalizing” their engagements and operations, but are actively leveraging granular customer,…


Added by Bill Schmarzo on April 30, 2020 at 4:30pm — No Comments

Accelerating aggregate MD5 hashing up to 800% with AVX512

By Frank Wessels


While MD5 hashing is no longer a good choice when considering a hash function, it is still being used in a great variety of applications. As such any performance improvements that can be made to the MD5 hashing speed are worth considering.

Due to recent improvements in SIMD processing (AVX2 and especially AVX512) we are providing a Go …


Added by Jonathan Symonds on April 30, 2020 at 1:06pm — No Comments

Deep Learning techniques for Cyber Security


For the first time, I taught an AI for Cyber Security course at the University of Oxford.


I referred to this paper from Johns Hopkins which covered Deep Neural networks for Cyber Security (A Survey of Deep Learning Methods for Cyber Security) – references below where you can download the full…


Added by ajit jaokar on April 30, 2020 at 1:00pm — No Comments

Thursday News, April 30

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



Added by Vincent Granville on April 30, 2020 at 12:07pm — No Comments

Thursday News, April 30

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



Added by Vincent Granville on April 30, 2020 at 12:00pm — No Comments

Difference between Binomial, Poisson and Hypergeometric Distribution in One Picture

There are a few key differences between the Binomial, Poisson and Hypergeometric Distributions. These distributions are used in data science anywhere there are dichotomous variables (like yes/no, pass/fail). This one picture sums up the major differences.…


Added by Stephanie Glen on April 30, 2020 at 9:45am — No Comments

Which Face is Real? Applying StyleGAN to Create Fake People

A Generative model aims to learn and understand a dataset’s true distribution and create new data from it using unsupervised learning. These models (such as StyleGAN) have had mixed success as it is quite difficult to understand the complexities of certain probability distributions. 

In order to sidestep these roadblocks, The Adversarial Nets Framework was created whereby the generative model is pitted against an adversary: a discriminative model that…


Added by James Montantes on April 29, 2020 at 11:00am — No Comments

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