Since the (non) listed abstract submissions for this year’s conference are presumably from Academia, any preferences for related conferences more accessible and rel...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Businesses generate data from different sources such as text files, multimedia forms, Internet of Things (IoT) devices, social media, and, mobile. Data is being used in v...
Here is a piece of content on Xpaths which is the follow up of How Xpath Plays Vital Role In Web Scraping Let’s dive into a real-world example of scraping amazon web...
Trends to Watch Out For and Prepare Yourself Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in stor...
“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner Big data is the new oil and there’s no denying to this fact. In certain ...
Throughout 2018, we conducted an online survey of Data Science professionals across Europe. This has led to a fantastic response, garnering over 800 participants from stu...
The results of this Kaggle survey were published recently. The questions addressed include: Introduction Survey Methodology Survey Participants- Basic Profile Educational...
Overview of changes TensorFlow 1.0 vs TensorFlow 2.0 Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0. The key diff...
Introduction Big data analytics has been applied to different spheres of human life. One of the best features of data analytics is its adaptability and wide application s...