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Featured Blog Posts – May 2020 Archive (33)

Weekly Digest, June 1

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 May 31, 2020 at 11:00am — 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

Weekly Digest, May 18

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 May 17, 2020 at 3:30pm — No Comments

How to maintain Model Effectiveness after deployed

How to maintain Model Effectiveness after deployed

When we ready to deploy a good predictive model which given a good accuracy score on training and testing dataset, there is one more problem to solve.  How long will this model effectively solve the problem with the same high accuracy and what is the strategy to maintain the model accuracy. We also need to…

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Added by Ramesh on May 17, 2020 at 11:32am — No Comments

Covid19 : Chapter 1 : Need of a Master Algorithm

Unfortunately MDP(Markov decision process) ,which is core part of learning agent of autonomous car  can’t help to develop inference system which can help to predict Covid19 positive patient based on symptoms or X-ray image of the patient. Offcourse we have multiple option’s (i.e. classification using logistic regression or can go for CNN) however both have dependency on the data..ohh.. NOT  DATA …… It’s reliable and lots of data. As both are extension of Bayes…

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Added by Preet Sharma on May 17, 2020 at 9:30am — 1 Comment

Difference Between Classification and Regression in One Picture

Regression and classification are both supervised machine learning techniques that use known data to make predictions. Where they differ is in what type of question you want answer, and how your output data is structured.  For example, do you want discrete, categorical answer choices, like yes/no, or a range of possible values from 0 to 100? This one picture shows the basic differences between the two methods.…

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Added by Stephanie Glen on May 17, 2020 at 5:58am — No Comments

ETL vs Data Preparation: What does your business need?



What is ETL?

Put simply, an ETL pipeline is a tool for getting data from one place to another, usually from a data source to a warehouse. A data source can be anything from a directory on your computer to a webpage that hosts files. The process is typically done in three stages: Extract, Transform, and Load. The first stage, extract, retrieves the raw data from the source. The raw data is then transformed to match a predefined format. Finally, the load stage…

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Added by Daniel Lucia on May 14, 2020 at 6:30am — No Comments

Could your personality decide how you can collaborate with AI in future jobs?

I am currently exploring this idea in a paper

Could your personality decide how you can collaborate with AI in future jobs?

I am a strong believer in a mode where humans and AI work together and collaborate 

I also believe that if we can master this skill, we can bring manufacturing jobs back from offshore destinations

 

In the book…

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Added by ajit jaokar on May 13, 2020 at 3:19pm — No Comments

Testing the Correlation between Time Series Variables

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Added by Selcuk Disci on May 13, 2020 at 5:18am — No Comments

Will DNNs Ever Really be Explainable?

Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need to answer the question of whether we will ever really be able to explain what goes on inside.

 

As we have become ever more enamored with DNNs, and their accuracy and…

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Added by William Vorhies on May 11, 2020 at 2:41pm — No Comments

COVID-19: Tuesday Blips in a “Downward Trajectory”

by Carl Hoover, Senior Advisor, Elder Research

We observe a peculiar counter-fluctuation in a COVID-19 statistic -- daily percent changes in deaths; it has a downward trend, but Tuesdays tend to see small increases.

COVID-19…

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Added by Paul Derstine on May 11, 2020 at 6:32am — No Comments

How to Safely Remove a Dynamic Shiny Module

Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blog post, I present how to remove deleted module leftovers and make sure that your Shiny graph observers are rendered just once.

While working with advanced Shiny applications, you have most likely encountered the need for using Shiny…

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Added by Krystian Igras on May 11, 2020 at 12:30am — No Comments

Weekly Digest, May 11

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 10, 2020 at 5:30pm — No Comments

Data Science for analytical minds | Introduction

Introduction to 5-part practical guide on becoming a data scientist.

Are you someone who:

  • Has studied concepts of statistics, econometrics or mathematics?…
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Added by Shilpa Arora on May 10, 2020 at 8:42am — No Comments

Inference vs Prediction in One Picture

Inference and prediction are two often confused terms, perhaps in part because they are not mutually exclusive. Both provide pieces of the "What is data telling me?" puzzle. In fact, many inferential questions are raised as a result of predictions: For example, you might predict how input variables X, Y, and Z affect an output variable B. Then you can…

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Added by Stephanie Glen on May 10, 2020 at 6:12am — 1 Comment

Data Science is Changing the World for the Better: Here’s How

Data science, by definition, is an interdisciplinary field which makes use of scientific processes, methods, systems, and algorithms for extracting insights and knowledge from multiple structured and unstructured data.…

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Added by Veronica Hanks on May 8, 2020 at 12:30am — 1 Comment

Is R Shiny Versatile Enough to Build a Video Game?

A Video Game? In R Shiny?

For the last two years, RStudio has been organizing a competition to showcase the power and flexibility of Shiny as a framework for creating applications. Lately I’ve been devoting my career to making Shiny apps more beautiful, and…

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Added by Pedro Coutinho Silva on May 7, 2020 at 11:00pm — No Comments

Using Google Mobility Data to Model Covid-19 Case Infection Rates

Using Google Mobility Data to Model Covid-19 Case Infection Rates

Paul B. Parker, Ph.D.



Introduction

The question of how and when to open up the economy as Covid-19 rates drop is fraught with great risk on both sides.  How the question is answered is likely the most critical public policy decision in the last few decades.  Unfortunately, most of the arguments made so far have been based more on philosophy than science.  Reliable data has been…

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Added by Paul Parker on May 7, 2020 at 6:03am — 10 Comments

Dirty Data — Quality Assessment & Cleaning Measures

Practical guide to understand, build, and execute data quality & cleaning process

In the book ‘Bad Data Handbook’ Q Ethan McCallum has rightly said, “We all say we like data, but it’s not the data but the insights that we derive from it are what we care about.” Yet, a data analyst gets to dedicate only 20% of her time to the art and science of…

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Added by Shilpa Arora on May 7, 2020 at 4:30am — 1 Comment

Johns Hopkins Covid-19 Data and R, Part I -- data.table handling.

Summary: This blog showcases the handling of daily data of cases/deaths from Covid-19 in the U.S. published by the …

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Added by steve miller on May 6, 2020 at 8:27am — No Comments

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