With AI It’s Adoption That Matters
Summary: How to measure the degree and value of AI adoption among companies or even countries is hard. Here’s a beginning proposal on how to… Read More »With AI It’s Adoption That Matters
Home » Archives for 2020
2020
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… Read More »Run 100x faster your Scikit-learn ML apps: A use case on Naive Bayes
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… Read More »How Chatbots Hold Power to Revolutionize the Finance Services?
Data Tanks for Incremental Training of Machine Learning Models
You are familiar with the term data lake. A data lake is a repository used to store unlimited volume of data. These days, most of… Read More »Data Tanks for Incremental Training of Machine Learning Models
The difference between Statistics and Data Science: Big Data and Inferential Statistics
This post is based on two insightful threads I read online (References below) Based on these, I address the question of ‘The difference between Statistics… Read More »The difference between Statistics and Data Science: Big Data and Inferential Statistics
Likely, unlikely, certain and impossible
I live in Jacksonville, Florida, where the odds of a hurricane on any given day are “improbable“. But does that mean I shouldn’t stock up… Read More »Likely, unlikely, certain and impossible
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… Read More »Advanced Analytic Platforms – Changes in the Leaderboard 2020
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… Read More »How the Use of Design Thinking Prevents Rushing into Solution Mode
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… Read More »Regularization in Machine Learning
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… Read More »DSC Webinar Series: Organize a Winning AI Team from Design to Deployment