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April 2020 Blog Posts (79)

Comparing Regression Lines with Hypothesis Tests

This article was written by Jim Frost.

How do you compare regression lines statistically? Imagine you are studying the relationship between height and weight and want to determine whether this relationship differs between basketball players and non-basketball players. You can graph the two regression lines to see if they look different. However, you…

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Added by Andrea Manero-Bastin on April 18, 2020 at 7:30am — No Comments

How to Get Your First Data Science Job: Go Dog Sledding

If you plug "statistics interview questions" into a search engine, you're going to get hundreds of questions and answers. And if your interview is looming in a few days, trudging through (and trying to memorize) hundreds of questions probably isn't your idea of a fun weekend. And if you're looking for that shoe in, having the perfect answer to every question might not be your best plan of attack. Why? Because that's what everyone else is doing.

So how do you stand out…

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Added by Stephanie Glen on April 18, 2020 at 5:10am — 2 Comments

Automatic Differentiation in 15 Minutes -- video tutorial with application in machine learning and finance

Recorded in Bloomberg's London offices in November 2019:

slides here

Added by Antoine Savine on April 17, 2020 at 7:53am — No Comments

Thursday News - April 16

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

Resources

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Added by Vincent Granville on April 16, 2020 at 12:00pm — No Comments

Technical Periods of COVID-19 Fatality Data and the Relevance of Asymptotic Baselines

While I was laid off due to the new Coronavirus, I created a computer application called Little Blue Pearl (LBP) - named after our planet. Although I was recalled about 1.5 weeks later, I find myself continuing to follow the fatality numbers for different countries. I guess it is a bit like bird watching in a certain sense. It is not that I am…

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Added by Don Philip Faithful on April 14, 2020 at 4:25pm — No Comments

How Organizations Can Leverage Design Thinking to Avoid “Least Worst” Options

Trying to gain organizational alignment on the best path forward on a critical product or organizational decision is overly difficult.  Product-centric, inside-out organizations use “wear them down” decision-making techniques that leads to the “Least Worst” option because that option offends the fewest stakeholders.

This “lowest common denominator” approach leads to sub-optimal decisions from the perspective of what’s important to the customers.  That’s like having…

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Added by Bill Schmarzo on April 14, 2020 at 5:30am — No Comments

The In-depth 2020 Guide to E-commerce Fraud Detection

It is hard to underestimate the role of E-commerce in a world where most communications happen on the web and our virtual environment is full of advertisements with attractive products and services to buy. Meanwhile, it is obvious that many criminals are trying to take advantage of it, using scams and malware to compromise users’…

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Added by Roman Chuprina on April 14, 2020 at 1:30am — No Comments

The Transition of Spend Management to Intelligent Spend Management

With the world of intelligence finally upon us, it is now expected that all aspects of business will be revolutionized. Businesses were ready to experience innovation in a lot of business processes and opportunities, but they weren’t expecting such a massive…

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Added by Ronald van Loon on April 13, 2020 at 6:20pm — No Comments

Augmented Analytics: Democratizing Insights and Empowering Business Users

Traditional data analytics has been revamped; this is the age of augmented analytics. Organizations are now making assured, confident decisions without relying on specialized data science skills or IT support. 

Ronald Van Loon, an SAP Partner, attended…

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Added by Ronald van Loon on April 13, 2020 at 6:00pm — No Comments

Model Transparency and the Complication of Model-Based vs Model-Free Learning

Summary:  High stakes models like those that allocate scarce resources to competing hospitals are headline news.  New thinking contrasting model-based versus model-free learning are emerging to describe new conditions we must consider before building or evaluating those models.

 

At this point we’re all…

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Added by William Vorhies on April 13, 2020 at 2:01pm — No Comments

An Ornstein-Uhlenbeck model for pandemics. (pip install pandemic)

This is a longer form followup to my post describing the open source pandemic package on PyPI (with Python code also available on Github). You can use the code to simulate millions of people moving about in two dimensions, crossing paths and, unfortunately, getting sick.

This video illustrates the dynamic with a toy sized town of fifty people. Watch how transmission takes place. You might even discern commuting and households.…

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Added by Peter Cotton on April 13, 2020 at 12:00pm — No Comments

Top Ways in Which Big Data Has Fortified Geolocation Apps

The world is on the constant lookout for technologies that can help us further improve how we go about not only our daily lives but how we conduct business as well. And this search has led us to highly valuable resources: Geolocation and big data. We know the world is brimming with data, which makes it vital to use technologies that can help us sort through this data and make some sense of it. That’s where big data comes in — allowing us to extract value from the abundance of data. It is…

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Added by Ryan Williamson on April 13, 2020 at 1:58am — No Comments

Weekly Digest, April 13

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 April 12, 2020 at 4:30pm — No Comments

Nonlinear regression of COVID19 infected cases.

In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model is called SIR because of the three states one individual can have.

These states are:

  • Susceptible: The individuals that can be infected by the disease
  • Infected: The individuals that have been infected and suffer the disease.
  • Recovered: The individuals that recovered from the disease and have become…
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Added by Pablo Gutierrez on April 12, 2020 at 11:23am — 5 Comments

Multicollinearity in Regression Analysis: Problems, Detection, and Solutions

This article was written by Jim Frost.

Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because independent variables should be independent. If the degree of correlation between variables is high enough, it can cause problems when you fit the model and interpret the results.…

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Added by Andrea Manero-Bastin on April 12, 2020 at 2:00am — No Comments

Bayesian Machine Learning (Part 8)

Bayesian Machine Learning (part-8)

Mean Field Approximation

Have you ever asked a question, why do we need to calculate the exact Posterior distribution ?

To understand the answer the above question, let us go to -

Back…

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Added by Ashutosh vyas on April 11, 2020 at 11:00am — No Comments

Proxy Quantum Clouds and the JupyterHub

About 4 months ago, I wrote for this blog an article entitled "List of Quantum Clouds". In that article, I listed 17 "quantum clouds". By now, there are probably a few more. The "HWB" (hardware backed) quantum clouds of Dwave, Rigetti and IBM, offer access to already existing, on-line qc hardware. I'll call all the other quantum clouds "proxy" quantum…

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Added by Robert R. Tucci on April 10, 2020 at 10:30pm — No Comments

Wind Turbine Surface Damage Detection using Deep Learning Algorithm

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Added by Ramesh on April 10, 2020 at 2:00pm — No Comments

Thursday News, April 9

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

Resources and Questions

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Added by Vincent Granville on April 9, 2020 at 12:00pm — No Comments

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