8 Machine learning best practices [Tutorial]
Machine Learning introduces a huge potential to reduce costs and generate new revenue in an enterprise. Application of machine learning effectively helps in solving...
Here’s how you can handle the bias variance trade-off in your ML models
Many organizations rely on machine learning techniques in their day-today workflow, to cut down on the time required to do a job. The reason...
What does a data science team look like?
Until a couple of years ago, people barely knew the term 'data science' which has now evolved into an extremely popular career field. The...
4 ways to enable Continual learning into Neural Networks
Of late, Deep Learning has been one of the working forces behind most technological breakthroughs happening around the globe. Whether it is easy machine...
What is transfer learning?
Introduction and motivation
In standard supervised machine learning, we need training data, i.e. a set of data points with known labels, and we build a...
Why training a Generative Adversarial Network (GAN) Model is no piece of cake
This article is an excerpt from a book by Kuntal Ganguly titled Learning Generative Adversarial Networks. The book gives a complete coverage of Generative...
15 Useful Python Libraries to make your Data Science tasks Easier
Python has become a big hit in the Data Science community over the last five years. So much so that it is slowly taking...
How will AI impact job roles in Cybersecurity
"If you want a job for the next few years, work in technology. If you want a job for life, work in cybersecurity."
-Aaron Levie,...
Is Facebook-backed PyTorch better than Google’s TensorFlow?
The rapid rise of tools and techniques in Artificial Intelligence and Machine learning of late has been astounding. Deep Learning, or “Machine learning on...
Uses of Machine Learning in Gaming
All around us, our perception of learning and intellect is being challenged daily with the advent of new and emerging technologies. From self-driving cars,...