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.
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
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
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
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?
Demand is the key indicator for every business to consider before taking the first step or expanding in the chosen market segment. It drives economic… Read More »The Complete Guide on Customer Demand Forecasting in Retail
In a meeting with engineering leadership, I was told, “We’ll tack on the AI later.” While doing ethnographic testing with a β customer, I was… Read More »Magic Dust for Artificial Intelligence Product Managers
Quantum computers come in 2 varieties, quantum annealers and quantum gate models. So far, DWave is the only company selling quantum annealers. A third type… Read More »So which is better for portfolio optimization, a NISQ Quantum Computer, or Fujitsu's "quantum inspired digital annealer"?
Data Science is an increasingly competitive field and participants are constantly working hard to build more levels of skill and experience. This trend has given… Read More »Top Data Science Skills for 2020
This is a major contribution of analytics and big data when you talk about the success of mobile app development. Big Data is large data… Read More »Does Big Data Impact Business Mobile App Development?
Summary: This blog details R data.table programming to handle multi-gigabyte data. It shows how the data can be efficiently loaded, “normalized”, and counted. Readers can… Read More »Multi Gigabyte R data.table for Ohio Voter Registration/History
