Run 100x faster your Scikit-learn ML apps: A use case on Naive Bayes
Scikit-learn (also known as sklearn) is a widely used free software machine learning library for the Python programming language. It has been adopted by many companies an...
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How Chatbots Hold Power to Revolutionize the Finance Services?
The days of waiting in a long queue to deposit some amount in your bank accounts are gone. The digitalization of the world has improved many concepts, including the ones ...
Advanced Analytic Platforms – Changes in the Leaderboard 2020
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become. Of...
How the Use of Design Thinking Prevents Rushing into Solution Mode
“We are too busy building the solution to bother the customer to identify, validate, value and prioritize their requirements.” – Name not disclosed to protect the i...
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...
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 ...
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...
Driving Stakeholder Engagement with an Interactive Hypothesis Development Canvas
“Begin with an end in mind” – Stephen Covey “7 Habits of Highly Effective People” No truer words have ever been spoken. A simple phrase that makes everyone’...
IRIS ML Toolkit can now use IntegratedML
IRIS ML Toolkit adds the power of IntegratedML to further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The ...
Supervised Learning vs Unsupervised & Semi Supervised in One Picture
Machine learning algorithms learn in three ways: unsupervised, supervised, and semi supervised. This picture illustrates the differences between the three types. Related ...