Augmented Analytics Engine
Role of Augmented Analytics in Future !! Insight generation is changing (and That’s a Good Thing) Have you ever been in situation when you need… Read More »Augmented Analytics Engine
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Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Likely, unlikely, certain and impossible
I live in Jacksonville, Florida, where the odds of a hurricane on any given day are “improbable“. But does that mean I shouldn’t stock up… Read More »Likely, unlikely, certain and impossible
Top 19 Data Science Interview Questions for Beginners
Job interviews make everyone nervous. But this is what they are designed to do. It is the most common medium to assess a candidate’s presence… Read More »Top 19 Data Science Interview Questions for Beginners
Visually Explained: What Companies Get Wrong About Failure?
Many traditional businesses hate to fail. They embrace concepts such as Fail Fast in public, but deep inside their hearts, they are scared to fail.… Read More »Visually Explained: What Companies Get Wrong About Failure?
Using SAS Viya to Analyze Love at First Sight
The Game Changer series By Stefan Dimitrov Stoyanov, Business Analytics Intern at Boemska As you may have noticed from my first and second articles about SAS… Read More »Using SAS Viya to Analyze Love at First Sight
A Pivotal Year for Data Scientists- 2020
Data scientist remains to be one of the best jobs in 2020. According to McKinsey, the US will be facing a shortfall of 250,000 data… Read More »A Pivotal Year for Data Scientists- 2020
Difference between Data Analysis and Statistical Analysis
Fifty years, ago, the lines between “data analysis” and “statistical analysis” were pretty clear. But as data analysis evolved, those lines became blurred. The differences… Read More »Difference between Data Analysis and Statistical Analysis
AI Techniques for Workforce Forecasting
Summary: Workforce forecasting and scheduling applications are rapidly upgrading their use of AI. Techniques of time series forecasting ranging from the simple Holt Winters to… Read More »AI Techniques for Workforce Forecasting
Finding Millions of Datasets with New Google Search Feature
News from Google. Across the web, there are millions of datasets about nearly any subject that interests you. If you’re looking to buy a puppy,… Read More »Finding Millions of Datasets with New Google Search Feature
How to make time-data cyclical for prediction?
There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not… Read More »How to make time-data cyclical for prediction?