Tagged: Design

In data science, what Is Open Innovation?

In data science, what Is Open Innovation?, The term “open innovation” is used to advocate for an alternative and open perspective towards invention that contrasts with the secrecy and conventional mentality of corporate R&D...

Data Science applications in Retail

Applications of Data Science in Retail: Let’s use an example to better understand the applications of data science in the retail sector. Example of data science in retail Before any announcement was made, the...

Why Statisticians Enjoy Odds

Why Statisticians Enjoy Odds, Probability dominated your basic statistics class. Gamblers faced odds. However, it turns out that odds also play a significant influence in statistics. Why not use probability instead of odds?. We...

Data Science in Banking and Finance

Data Science in Banking and Finance, When was the last time you went to the bank or wrote a cheque? Although the classic chequebook still has its uses, your debit card and mobile banking...

Which programming language should I learn?

Which programming language should I learn? The world has been changing at an astounding rate, and application developers deserve a large portion of the credit for that progress. If you haven’t already noticed, application...

Best Books for Data Engineers

Best Books for Data Engineers, Are you seeking the best books on data engineering? If so, your quest is over here. We’ve outlined the top 8 books on data engineering in this article. So,...

NLP Technology N gram model in NLP

NLP Technology N gram model in NLP, The likelihood of the word sequence is calculated using language modeling. Applications for this modeling include speech recognition, spam filtering, and many more. Automatic Language Recognition (NLP)...

What is an adaptive clinical trial?

In adaptive clinical trials, A patient may be given a new, more effective medication as an adaptive design clinical study develops. Any design that allows for changes to a clinical trial as it progresses...

How to Join Objects in R

In R, the cat() function can be used to concatenate several objects. The following is the fundamental syntax for this function: cat(…, file = “”, sep = ” “, append = FALSE)) where: …:...