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 get started. We talk...
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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...
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 ...
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 and Data Scie...
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 on hurricane s...
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...
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...
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 ...
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...