Machine Learning Times
Machine Learning Times
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A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...
Decode the Algorithm: Navigate the World of Machine Learning in Business with ‘The AI ​​Playbook’
  This article reviews the new book, The AI Playbook, by...
To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right
 Originally published in Harvard Data Science Review. For more...
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2 years ago
A Refresher on Continuous Versus Discrete Input Variables

 How many times have I heard that the most critical element in predictive analytics is the data? Don’t misunderstand what I am saying. Method counts as well. But if there is a choice between better data or more methods, you can be sure that a data scientist would favor the richness of a data set. Data comes in different formats. But we are able to classify data into two types- continuous and discrete. Bottom line is, if a variable can assume any value between its minimum and maximum value, then it is called a continuous variable. Much of

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