Regularization in Machine Learning
This article was written by Prashant Gupta. One of the major aspects of training your machine learning model is avoiding overfitting. The model will have a low accuracy i...
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DSC Webinar Series: Organize a Winning AI Team from Design to Deployment
Designing, testing, and shipping an AI product is no small feat. How you organize your team — from roles and responsibilities to planning and process — can go a long ...
Top 19 Data Science Interview Questions for Beginners
Job interviews make everyone nervous. But this is what they are designed to do. It is the most common medium to assess a candidate’s presence of mind and his/her abilit...
Popular Programming Languages: 1960 to 2020
In one great video. Enjoy the video!...
How the data science certifications help the Big Data industry
In the past few years, Big Data has emerged as a prospective game-changer for organizations of all sizes and across all industries. Possible – and actual – use cases ...
How Machine Learning Is Changing the World
Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rathe...
Dataframe Storage Efficiency in Python-Pandas
Summary: It’s no secret that Python-Pandas is central to data management for analytics and data science today. Indeed, what we’re seeing now is Pandas being e...
Drawing Attention to Climate Change With Interactive Generative Art
Finding creatives ways to put climate change in the limelight is essential to motivating the intensity of participation that delivers action. There are different ways to ...
DSC Podcast Series: Data Science Fails: Ignoring Business Rules & Expertise
Nowadays, we have unprecedented access to data, plus the computing power and advanced algorithms to find correlations. We look at a cautionary case study of a cancer cent...
Cloud Adoption: Myths Enterprises Must Steer Clear Of
Given the rapid pace at which technology around has evolved, there are a lot of changes that companies these days must embrace. Perhaps the most significant, as well as t...