The pressure on organizations to make accurate and timely business decisions has turned data into an important strategic asset for businesses. In today’s dynamic mark...
Data scientists and chief data officers are definitely the scorching use lately, and government organizations at all stages are performing for getting extra away from the...
Guest blog by Manmit Shrimali. Data science, deep learning, citizen scientists, data lake, big data, AI, machine learning, hadoop, Spark, deep learning….Yes, I get...
I have personally worked in SAS, SPSS and R, and while I agree there are advantages to SAS for example, R has a definite place as free (open source) software with lots of...
This is our second post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for i...
March 30, 2017. Brampton, Ontario 2:00 p.m. The Prime Minister will highlight Budget 2017 investments in AI research. A media availability will follow. Magna Internati...
Summary: Dealing with imbalanced datasets is an everyday problem. SMOTE, Synthetic Minority Oversampling TEchnique and its variants are techniques for solving this pr...
Big Data is not just the ability to store large amounts of data, more important is what we can do to the data in that large volume, how we use the data with such large vo...
This infographic was produced by Springboard, and it lists a few short online, inexpensive courses along with some university programs, leading to a certificate. The info...
Summary: As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. “Machine Learning” i...