Last week I attended a three-day Gartner Summit in London. For all those who didn’t manage a trip, I want to share with you the biggest insights I gathered from the con...
We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analy...
This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.” You can find part 1 here: “Choose a dom...
The IEEE International Conference on Computer Vision received 4,303 papers and accepted 1,075 for the 2019 summit. Bellow is the best paper award. Source: see paper list...
Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Hexago...
The title of the eBook is Dive in Deep Learning. Below I list the content of chapter 16, dealing with the math of deep learning. But the whole book (entirely free) is wor...
Introduction Artificial intelligence uses data science and algorithms to automate, optimize and find value hidden from the human eye. By one estimate, artificial intellig...
Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then ...
The following articles were hand-picked, and curated by one of our interns. They cover dozens of topics of interest to data scientists. Precision vs significance / accu...
Read part 1 – The graph database landscape The graph analytics landscape 2019 Graph analytics frameworks consist of a set of tools and methods developed to extract ...