Why I Chose AWS Lambda to Power My App’s Cloud Logic
For this article, I will demonstrate how I used AWS Lambda as an all-around backend system for a mock-up mobile application I developed for my Design subject in school. The mobile application is an IoT application that integrates communication between a mobile device and a handheld barcode scanner using a Bluetooth module. It also includes security functions, such as code decryption and user statuses. For the dependencies, I used flutter_blue, get, and http. The [...]
What is Area Under the ROC Curve (AUC) in Machine Learning?
Area Under the ROC Curve (AUC) Cheat Sheet AUC, short for Area Under the Curve of the Receiver Operating Characteristic (ROC), is a metric that evaluates how well a model can differentiate between different classes. A performance metric primarily used for binary classification models. Ranges from 0 to 1: 1: Perfect model. 0.5: Model performs no better than random guessing. 0: Model inversely ranks positives and negatives. Accurate Outcomes True Positive (TP): The model [...]
What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?
BiLingual Evaluation Understudy (BLEU) Score Cheat Sheet BLEU (BiLingual Evaluation Understudy) is a corpus-level metric designed to automatically evaluate the quality of machine-generated text, most commonly in machine translation (MT). It compares n-gram overlap between the machine’s output and one or more human reference translations. Introduced by Papineni et al. (2002), BLEU became the first automated metric to correlate highly with human judgments in large-scale MT evaluations. It remains a widely used baseline for evaluating [...]
What is RLHF – Reinforcement Learning from Human Feedback?
What is Reinforcement Learning from Human Feedback (RLHF)? A technique to improve AI models using human feedback to guide learning. Builds on reinforcement learning, where AI learns by trial and error to achieve goals. Uses human opinions to determine good or bad outputs, enhancing traditional reward systems. How RLHF Works Data Collection: AI generates multiple outputs (e.g., answers or text snippets). Humans provide feedback by ranking or comparing outputs (e.g., which is better or [...]
AI Learning Simplified: Three Methods That Make Machines Smart
Let’s be honest, in recent years, you might have heard of Artificial Intelligence (AI) a million times in your day-to-day life—but have you ever stopped to wonder, how does AI learn to do all the things it can? From writing essays to driving cars and even powering robots, AI has gone from a distant dream to a constant companion. In fact, many assumes that AI is created with magic that could automatically build itself [...]
Renovate Your Second Home: Terminal with Amazon Q
For many developers, the terminal is not just a tool to make you look cool but it is a sanctuary. It deserves the title "A Developer's Second Home." Here, we build what we want, everything flows freely, and productivity reigns. However, comfort doesn't mean we can't tinker and upgrade it. In this blog, we'll explore how Amazon Q can renovate our sanctuary to make life easier. We need to improve our terminal experience from simple [...]
Cloud-9.9: Using Amazon CloudFront for Your Site in Amazon EC2
Hey, this is Step 9 of our 9-step website portfolio building with AWS! Got lost? Click here to go to the main article, and here for the eighth step! In this final step of the series, we’ll guide you through integrating Amazon CloudFront, a global Content Delivery Network (CDN), with your WordPress website hosted on Amazon EC2. Amazon CloudFront will help accelerate content delivery, reduce latency, and enhance the overall performance and security of [...]
Understanding F1 Score in Machine Learning
In machine learning, evaluating the performance of a model is essential to ensure its effectiveness and reliability. Among various metrics used for classification problems, the F1 Score is one of the most important and widely used. This metric helps assess the balance between precision and recall, providing a score reflecting the model's accuracy and ability to identify relevant instances. What is the F1 Score? The F1 Score measures a model's accuracy, the harmonic mean [...]
Smart Note-Taking with NotebookLM – AI Assistant for Your Ideas
Have you ever found yourself staring at a blank screen at 10 p.m., with a deadline looming and a mountain of notes scattered across your desktop? We’ve all been there! Wishing upon a shooting start that our research could magically organize itself and whisper the answers straight into our ears. But what if your notes could not only talk back but also help you brainstorm, summarize, and even turn dense research into a podcast-worthy [...]
DP-100: Microsoft Azure Data Scientist Associate Study Path
Bookmarks Study Materials Azure Services to Focus On Final Remarks The DP-100: Data Scientist Associate is designed for data scientists who apply Azure machine learning services to train, evaluate, and deploy models that solve business problems. This exam assesses technical skills in preparing data, developing and training models, deploying and maintaining models, and monitoring and optimizing model performance using Microsoft Azure technologies. The content of the exam will [...]
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