Dragan Vukmirović

Srbija bi trebalo uskoro da dobije aplikaciju za praćenje kontakata zaraženih COVID-19 virusom

R and Python: The Data Science Dynamic Duo. “Rather than R versus Python, we focus on R and Python,” says Lou Bajuk, director of product marketing for RStudio, the Boston, Massachusetts-based provider of commercial and open source R software.

Education: From disruption to recovery. UNESCO.The nationwide closures are impacting over 60% of the world’s student population. Several other countries have implemented localized closures impacting millions of additional learners.

Want to create your own surveys? Survey Monkey .Gather opinions from customers, employees, prospects, and more. Use your insights to make better, data-driven decisions.

Nordeus Company, Belgrade, Serbia is looking for a Data Scientist. Bonus points if you’ve also worked with robust statistical significance testing, A/B testing or large datasets and big data systems (SQL, Hadoop, Apache Spark, etc.)

Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!

Building Sales Prediction Web Application using Machine Learning Dataset

There’s no single blueprint for beginning a data analytics project – never mind ensuring a successful one but these 10 questions will help guide you to success (SAS):

1. Is this your organization’s first attempt at a data analytics project?
2. What business problem do you think you’re trying to solve?
3. What types and sources of data are available to you?
4. What types and sources of data are you allowed to use?
5. What is the quality of your organization’s data?
6. What tools are available to extract, clean, analyze and present the data?
7. Do your employees possess the right skills to work on the data analytics project?
8. What will be done with the results of your analysis?
9. What types of resistance can you expect?
10. What are the costs of inaction?

Yandex begins testing self-driving cars in Michigan

Prioritizing health: A prescription for prosperity. McKinsey, July, 2020. Focus of this report is on what it would take to improve the health of the world’s population, and what the benefits are for individuals, societies, and economies. The product of a yearlong research effort across McKinsey & Company, this report is a collaboration between the McKinsey Global Institute (MGI) and McKinsey experts in healthcare, life science, and global public health.

Europe Is Near the Brink of a Second Wave of COVID-19. Will Its New Containment Strategy Work? . Time, August, 2020. Daily case numbers in several western European countries have begun to tick upward again. On Thursday (6 of August 2020) France and Germany both recorded their highest daily number of new cases in three months, and infections are increasing fast in Spain and the Netherlands too, among others. Public health experts poring over the data are now warning that Europe could be on the brink of a second wave of COVID-19—unless governments keep their promises to sharpen rules when infections begin to spike.

https://ourworldindata.org/grapher/daily-new-confirmed-cases-of-covid-19-per-million-tests-per-case?zoomToSelection=true&time=2020-03-12..&country=BEL~FRA~DEU~ISL~ITA~LUX~NLD~NOR~PNG~ESP~GBR

Many European governments are now deploying a new strategy to contain the virus: imposing localized restrictions in specific areas where there are outbreaks, in an effort to avoid a return to the large-scale national lockdowns that devastated their economies in the spring.

Doskorašnji učenici Gimnazije “Jovan Jovanović Zmaj” u Novom Sadu, postigli su veliki uspeh, objavivši svoj prvi naučni rad u časopisu “Physics Education” pod nazivom: “Modeling of fundamental electronic circuits by the Euler method using the Python programming language”.

Uz mentorstvo dr Stevana Armakovića sa Prirodno-matematičkog fakulteta Univerziteta u Novom Sadu, Ljubomir i Stefan uspešno su demonstrirali kako se programski jezik ,,Python” može iskoristiti za pisanje programa kojim se aproksimativno rešavaju diferencijalne jednačine, koje opisuju ponašanje RC, RL i RLC kola.

U tekstu Brainz TV se navodi da je događaj značajniji samim tim što je ovo prvi put da su srednjoškolci dobili priliku da njihovo istraživanje postane deo naučne zajednice.

Professor Thomas Davenport of Babson College, Harvard Business School and the MIT Sloan School of Management delivered his keynote address on the history of data analytics at Open Data Science Conference East 2017 in Boston, titled Four Eras of Analytics and Data Science.

Prof. Davenport’s speech covered the span of data analytics from a business perspective, beginning in the 1970s up through modern times, breaking the practice out into four main eras.

The history of data science is extraordinarily brief compared to the long arcs of biology, chemistry, and other disciplines. Nonetheless, this history rich in its own way, drawn from a group of movers and shakers that contrasts sharply with the academics who established the study of the physical world centuries before. Read on to get a sense of how we got from ‘back room’ analysts to the ‘sexiest job of the 21st Century’.

• Era One: Artisanal Analytics
• Era Two: Big Data Analytics
• Era Three: Data Economy Analytics
• Era Four: Autonomous Analytics

Coronavirus Has Upended Everything Airlines Know About Pricing. (WSJ, August, 2020). The pandemic has completely confounded the computers that spit out airfares based on passenger behavior. Part of the problem for airlines is that next year, pricing systems won’t have good data either: 2020 won’t be indicative of 2021, they hope.

“The entire demand patterns and booking patterns have changed. Not only are they lower, but any information about the mix of business and leisure bookings is no longer relevant,” says Peter Belobaba, principal research scientist for air transportation at the Massachusetts Institute of Technology.

What To Look For In A Data Science & Analytics Education Real World Problems. The world of analytics is applied. I know the data science folks try to forget that, but it often has more in common with Engineering then Science. You can’t learn a real-world applied science without realistic situational training. Sample data sets and canned coding recipes don’t cut it — even when paired with “independent learning”. I put that in quotes because it is often a lazy form of teaching — where as true independent learning is laudable.

T-Mobile switches on its standalone 5G network in thousands of cities.

Python, R, Other Programming Languages Thriving Long-Term

Python vs R for Data Science. A comparative analysis of two great languages with regards to their features, communities and industry position.

How to Structure a Data Science Team: Key Models and Roles