A.I, Data and Software Engineering

TagMachine learning

Predictor VS. Estimator quick note


There is much confusion for beginners in machine learning. One of the frequently asked questions is the difference between predictor vs. estimator. Let get some note: Different usage “Prediction” and “estimation” indeed are sometimes used interchangeably in non-technical writing and they seem to function similarly, but there is a sharp distinction between them in the...

Common Loss functions and their uses – quick note

Machines learn by means of a loss function which reflects how well a specific model performs with the given data. If predictions deviate too much from actual results, loss function would yield a very large value. Gradually, with function, parameters are modified accordingly to reduce the error in prediction. In this article, we will quickly review some common loss functions and their usage in the...

AI in agriculture: fruit grading (Part 1)


During a meet up last month, a friend told me about the current project on a farm in New Zealand. They want to build a system to grade their fruits and AI is the technology they are looking for. It inspired me to write about how machine learning can help in solving such a problem. Fig 1: Apple grading The grading task Given an apple, we need to sort it to correct category in three available...

A.I – A Few Thoughts on its future impacts

machine_learning A.I The concept of artificial intelligence – A.I – has been around for decades. Historically, scientists filled the outlook for the future with predictions of machine intelligence, robotics and automation. Society watched the interpretation of such visions through Hollywood’s science fiction movies where robots which were designed to help people, went rogue and took...

A.I, Data and Software Engineering

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