A.I, Data and Software Engineering

TagMachine learning

Common Loss functions and their uses – quick note

losses

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 \(optimization\) function, parameters are modified accordingly to reduce the error in prediction. In this article, we will quickly review some common loss functions and...

AI in agriculture: fruit grading (Part 1)

Petamind A.I

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...

Machine learning quick note

Machine learning is a terminology to describe the uses statistical techniques to give computer systems the ability to “learn” (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed. You can think of machine learning as the brains behind AI technologies, and AI technologies do the actions. More technically, machine learning...

A.I, Data and Software Engineering

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