Machine learning Archives - Petamind

K-Means vs K-Nearest neighbours quick note

Tung Nguyen — Thu, 13 Jan 2022 02:01:58 +0000

These are completely different methods in machine learning. The fact that they both have the letter K in their name is a coincidence. K-means is a clustering algorithm that tries to partition a set of points into K sets (clusters) such that the points in each cluster tend to be near each other. It is unsupervised […]

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Predictor VS. Estimator quick note

Tung Nguyen — Tue, 20 Oct 2020 21:55:02 +0000

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 […]

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Common Loss functions and their uses – quick note

Tung Nguyen — Sat, 08 Feb 2020 02:28:54 +0000

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 […]

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A.I in agriculture – Fruit Grading with Keras (part 2)

Tung Nguyen — Sun, 06 Oct 2019 07:05:15 +0000

In part 1, we introduced fruit classification with pure python implementation. In this part, we will use the Keras library instead. What is Keras Keras is an open-sourceneural-network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible. […]

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AI in agriculture: fruit grading (Part 1)

Tung Nguyen — Thu, 26 Sep 2019 03:37:27 +0000

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. […]

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A.I – A Few Thoughts on its future impacts

Tung Nguyen — Sun, 10 Feb 2019 20:39:57 +0000

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 over. Now, […]

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Machine learning quick note

Tung Nguyen — Mon, 01 Oct 2018 09:43:19 +0000

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 is the […]

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Bias vs Variance Quick note

Tung Nguyen — Mon, 28 May 2018 15:55:04 +0000

A proper understanding of bias and variance concepts would help us not only to build accurate models but also to avoid the mistake of over-fitting and under-fitting.

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