As the world continues to collect more and more data with every passing second, it is only understandable that we would need tools that would help us make sense of all th...
Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurit...
I prefer to structure my code the same way as an article, and if have academic background as well, you can relate. Hence, I usually start with preamble, where I put all t...
By Bill Vorhies. Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an e...
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advan...
There seem to be countless articles projecting the incredible economic and social growth that will be driven by AI. For example, PwC predicts that AI technologies and a...
Actually the unlocking of hidden benefits and true potential of the data is an essential task for business. Also, customers` satisfaction appears to be a pushing force fo...
This article was written by Alberto Quesada. The procedure used to carry out the learning process in a neural network is called the optimization algorithm (or optimize...
This article was written by Laurel Brunk. Data scientists spend most of their time (up to 79%!) on the part of their job they hate most. The Role of a Data Scientist On...
P-values (“Probability values”) are one way to test if the result from an experiment is statistically significant. This picture is a visual aid to p-values, ...