data science Archives - Petamind

Harness Engineering: The New Paradigm of Agent-First Software Development

Tung Nguyen — Thu, 09 Apr 2026 19:37:55 +0000

In late 2025, an engineering team at OpenAI ran a massive internal experiment that demonstrated the true power of Harness Engineering. They successfully built and shipped a beta software product containing roughly a million lines of code, and humans manually wrote exactly zero of them. Instead, humans orchestrated a suite of Codex agents to write […]

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How EMV (Chip & PIN) Works – Transaction Flow Chart

Tung Nguyen — Thu, 20 Jun 2024 03:38:28 +0000

The shift from magnetic stripe to EMV (Europay, Mastercard, and Visa) technology has revolutionized the way card transactions are processed, enhancing security and reducing fraud. This article provides a comprehensive overview of the EMV transaction process, detailing each step involved from card detection to transaction completion. Process Description The transaction process begins with the card […]

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LTV – Terms & Conditions

Tung Nguyen — Sun, 24 Mar 2024 00:59:00 +0000

Terms & Conditions These terms and conditions apply to the Lich Tu Vi app (hereby referred to as “Application”) for mobile devices that was created by Tung Doan Nguyen (hereby referred to as “Service Provider”) as an Ad Supported service. Upon downloading or utilizing the Application, you are automatically agreeing to the following terms. It […]

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the Mobile Testing Maze: AMaestro & Appium Frameworks

Tung Nguyen — Mon, 12 Feb 2024 21:27:57 +0000

In the age of ubiquitous mobile apps, ensuring their quality and functionality across diverse devices and platforms is crucial. Manual testing, while essential, can be time-consuming and prone to human error.expand_more Enter mobile automation testing frameworks, your allies in streamlining the process and delivering exceptional user experiences. However, choosing the right framework amidst a plethora […]

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Kotlin Best Practices: Elevate Your Code

Tung Nguyen — Wed, 02 Aug 2023 14:52:00 +0000

Introduction: Kotlin, the versatile and powerful programming language, has taken the development world by storm. Its concise syntax, seamless interoperability with Java, and robust features have made it a favorite among developers. In this article, we will delve into the top 10 Kotlin best practices that will not only elevate your coding skills but also […]

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The Top 5 Most In-Demand Programming Languages to Learn for a Bright Future

Tung Nguyen — Wed, 02 Aug 2023 02:27:06 +0000

Introduction: In the fast-paced world of technology, staying ahead of the curve is crucial for aspiring programmers. As the demand for software developers continues to surge, knowing which programming languages are most sought-after can give you a competitive edge in the job market. In this article, we’ll explore the top five most in-demand programming languages […]

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Advanced Keras – Custom loss functions

Tung Nguyen — Wed, 23 Mar 2022 00:31:00 +0000

When working on machine learning problems, sometimes you want to construct your own custom loss function(s). This article will introduce abstract Keras backend for that purpose. Keras loss functions From Keras loss documentation, there are several built-in loss functions, e.g. mean_absolute_percentage_error, cosine_proximity, kullback_leibler_divergence etc. When compiling a Keras model, we often pass two parameters, i.e. […]

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Latent Dirichlet Allocation (LDA) and Topic ModelLing in Python

Tung Nguyen — Sun, 16 Jan 2022 22:09:59 +0000

Topic modelling is a type of statistical modelling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA) is an example of a topic model and is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model, modelled as Dirichlet […]

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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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Lasso vs Ridge vs Elastic Net – Machine learning

Tung Nguyen — Tue, 11 Jan 2022 19:43:00 +0000

Lasso, Ridge, and Elastic Net are excellent methods to improve the performance of your linear model. This post will summarise the usage of these regularization techniques. Bias: Biases are the underlying assumptions that are made by data to simplify the target function. Bias does help us generalize the data better and make the model less […]

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