This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
This article was written by Aisha Javed. Below is a summary and table of content, for this long tutorial. Whether you are a beginner in Machine Learning or you have been...
AI and machine learning have advanced rapidly over the past few years, and many have suggested that 2019 will be the year for businesses that have waited to finally embra...
This article was written by Jean Francois Puget. What programming language should one learn to get a machine learning or data science job? That’s the silver bu...
These predictions for 2018 are from Infologix. “Metadata management and ensuring data privacy for regulations such as GDPR joins earlier trends like AI and IoT, but the...
As 2017 ends, Ramon Chen, Chief Product Officer at Reltio, the creator of data-driven applications, has peered into his crystal ball to decipher what 2018 will bring in d...
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it ...
The New Yorker wrote an article about a retired reporter using algorithm to sort through murder statistics to identify link murders to the same serial killer. The article...
Finding out the difference between data scientists, data engineers, software engineers, and statisticians can be confusing and complicated. While all of them are linked t...