What is a Cheat Sheet ?

Wikipedia defines cheat sheets as a concise set of notes used for quick reference.  Now the word that needs to be emphasized here is ‘quick reference’.

In…

Often touted as one of the top jobs of the 21^st century, a data scientist is an increasingly common requirement across firms of different sizes and from a variety of verticals. This comes from the fact that: 

• Massive amounts of data are flowing into most companies

• This data is looked at as potentially a great source of valuable strategic insights

In the course of a data science career, a data scientist handles a number of…

Summary:  Objectively identifying hateful or abusive speech on social media platforms would allow those platforms to better control it.  However to be objective and without bias that identification would have to be independent of the author especially where elected officials are involved.

What could be more…

How COVID-19 is Changing our Relationship with Data

An increasing proportion of businesses use scientific methods to analyze data. Yet, because key decision-makers do not believe in a data-driven method, a sizable number do not turn their data into actionable information. Instead, these individuals rely on their instincts to drive decisions. If used in lieu of data,such hunch-based mindsets often lead to inefficiencies and wasted…

While Strategy may not be dead, the importance of the traditional strategy function will be greatly reduced by the emergence of AI. In my previous blog “Strategy Series Part 1: "Creating a Data Strategy that Delivers Value,"  I asked:  How does one develop data and AI strategies in a world of continuous change and transformation?  Tesla provides an interesting poster child for that question: What is Tesla’s business strategy?  Is Tesla an automotive…

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…

Mortality and co-morbidity Investigation in Italy under Covid-19

Dispensing connection between characteristic, co-morbidities, and mortality outcomes among 1890 patients with Covid-19 and three cause of death: infectious, respiratory and under investigation diseases which affected mortality rates in Italy between 2010 and 2017.

by Federica…

Bernouilli lattice processes may be one of the simplest examples of point processes, and can be used as an introduction to learn about more complex spatial processes that rely on advanced measure theory for their definition. In this article, we show the differences and analogies between Bernouilli lattice processes on the standard rectangular or hexagonal grid, and the Poisson process, including convergence of discrete lattice processes to continuous Poisson process, mainly in two…

Poor address data is a complex data quality challenge that affects customers, businesses, and mailing service. Each year, millions of dollars get wasted in resolving the consequences of poor address data. Mailers spend over $20 billion on UAA mail, while direct costs to the USPS is over $1.5 billion/year. All this unnecessary cost is the result of poor, mismanaged, invalidated address data. 

Over the years, working…

This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.

In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.

Import libraries

We are coding the algorithms using the R base package…

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?

A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…

An error correcting code (ECC) is a way of controlling errors in data that is being transmitted over an unreliable or noisy communication channel. In an ECC, the sender encodes the message with redundant information. The receiver is able to detect a limited number of errors, and to correct these errors without retransmission.

Turbo codes are a class of ECC that approach very closely the theoretical…

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

Announcements

• How data drives our best Hollywood films - Upcoming Webinar
• New Forrester Study Featuring Databricks

Technical…

Introduction to SageMaker

I’ve been working with AWS SageMaker for a while now and have enjoyed great success. Creating and tuning models, architecting pipelines to support both model development and real-time inference, and data lake formation have all been made easier in my opinion.  AWS has proven to be an all encompassing solution for machine learning use cases, both batch and real-time, helping me decrease time to…

Summary:  Explaining data science to a non-data scientist isn’t as easy as it sounds.  You may know a lot about math, tools, techniques, data, and computer architecture but the question is how do you explain this briefly without getting buried in the detail.  You might try this approach.

We’ve all been…

Summary: This blog is part II of a series showcasing management and analytics of the daily U.S. Covid-19 case/death data published by the Center for Systems Science and Engineering at Johns…

by Chris McLean & Peter Bruce

Never before have statistical models received the attention they are getting now in the midst of the Coronavirus pandemic.  It is hard to read a news feed today without encountering either:

• New predictions…

by Mike Thurber and John Elder, Ph.D.

By tracking anonymized mobile phone location data and COVID-19 case reports for many countries with different policies, we studied the effect of restricting mobility on the spread of COVID-19.  We found that lockdown policies did rapidly reduce the…

This article is chunk from one of my blog posts on Arima time series forecasting with Python It is a pretty extensive tutorial and until and unless you are not really interested in learning in and outs of about ARIMA time series forecasting don't bother to click. 

But I do wanted to share this list of 5 very useful metrics for a…