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About Ace Kenneth Batacandulo

Ace is AWS Certified, AWS Community Builder, and Junior Cloud Consultant at Tutorials Dojo Pte. Ltd. He is also the Co-Lead Organizer of K8SUG Philippines and a member of the Content Committee for Google Developer Groups Cloud Manila. Ace actively contributes to the tech community through his volunteer work with AWS User Group PH, GDG Cloud Manila, K8SUG Philippines, and Devcon PH. He is deeply passionate about technology and is dedicated to exploring and advancing his expertise in the field.

AWS Elastic Disaster Recovery

2025-08-01T09:06:05+00:00

AWS Elastic Disaster Recovery Cheat Sheet It is a fully managed service providing fast, reliable, and cost-efficient disaster recovery for physical, virtual, and cloud-based Amazon Web Services (AWS) servers. It continuously replicates block-level data from the source environment, such as on-premises infrastructure or another cloud provider, to a staging area subnet in AWS. In the event of a disaster or during a drill, AWS DRS enables the rapid launch of fully operational recovery instances in AWS, ensuring minimal downtime and data loss. Features Continuous Replication Block-level replication from on-premises or cloud to AWS. Automated Orchestration Automates failover, recovery, and failback [...]

AWS Elastic Disaster Recovery2025-08-01T09:06:05+00:00

GitHub Spark: The Future of Instant App Development?

2025-07-31T10:05:47+00:00

Imagine this: You're knee-deep in code, battling a gnarly bug, when suddenly, poof, an AI assistant appears, whispers the perfect fix in your ear, and vanishes before you can even say "merge conflict." GitHub Spark is revolutionizing development with AI-powered code suggestions, automated reviews, and intelligent issue resolution. Learn how to use it and boost your productivity today! What Is GitHub Spark? GitHub Spark leverages AI-powered natural language processing to generate functional code from simple text descriptions. Instead of manually writing every line of code, developers can describe what they want their app to do, and Spark's AI (likely powered [...]

GitHub Spark: The Future of Instant App Development?2025-07-31T10:05:47+00:00

What Is the Difference Between AI, ML, DL, and Generative AI?

2025-07-22T17:40:30+00:00

Imagine a world where machines compose music, diagnose diseases, write code, drive cars, and even generate original artwork. That world isn't the future, it's now. Artificial Intelligence (AI) is no longer a buzzword; it's a driving force behind the most significant innovations of our time. But here's the catch: while AI is everywhere, many still confuse its core components:  Understanding the differences between these technologies isn't just helpful, it's essential. Whether you're a student, a tech professional, a business leader, or AI-curious, this guide will give you a crystal-clear breakdown of these foundational terms in 2025 and beyond. What is [...]

What Is the Difference Between AI, ML, DL, and Generative AI?2025-07-22T17:40:30+00:00

What is Metric for Evaluation of Translation with Explicit ORdering?

2025-06-29T17:01:03+00:00

When evaluating machine translations, assessing how closely the translation matches a human's understanding is essential. METEOR (Metric for Evaluation of Translation with Explicit ORdering) is an evaluation metric that provides a more comprehensive and accurate measurement of translation quality. Unlike traditional metrics like BLEU, METEOR considers precision and recall and the semantic meaning of words and their order in a sentence, offering a more nuanced and reliable translation evaluation. In this article, we'll delve deeper into METEOR, how it works, and why it's used to evaluate machine translation quality. Additionally, we'll provide an easy-to-understand cheat sheet that summarizes its features. [...]

What is Metric for Evaluation of Translation with Explicit ORdering?2025-06-29T17:01:03+00:00

Understanding F1 Score in Machine Learning

2025-06-10T16:22:39+00:00

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 of precision and recall. It considers both false positives and false negatives, making it especially useful when class distribution is imbalanced. The formula for F1 Score [...]

Understanding F1 Score in Machine Learning2025-06-10T16:22:39+00:00

DP-100: Microsoft Azure Data Scientist Associate Study Path

2025-06-06T12:15:41+00:00

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 test your ability to perform the following: Prepare data for modeling by importing, cleaning, and transforming datasets. Develop and train machine learning models using Azure Machine [...]

DP-100: Microsoft Azure Data Scientist Associate Study Path2025-06-06T12:15:41+00:00

Amazon Bedrock Token Management: Strategies for Smarter AI Usage

2025-06-03T18:11:17+00:00

Did you know? Big tech companies, fast-growing startups, and even solo developers are already using Amazon Bedrock to power their AI apps, from chatbots to content generators. But there's one secret they all share to keep things cost-efficient and fast: Smart token management. Whether building an AI-powered app or experimenting with GenAI for the first time, understanding how tokens work is the key to saving money and boosting performance in Amazon Bedrock. Let's break it all down easily. There is no deep tech talk, just real tips that work. What Are Tokens in Amazon Bedrock? Tokens are the units of [...]

Amazon Bedrock Token Management: Strategies for Smarter AI Usage2025-06-03T18:11:17+00:00

Azure AI Language

2025-05-19T12:30:11+00:00

Azure AI Language Cheat Sheet Azure AI Language is a suite of natural language processing (NLP) services under Azure Cognitive Services. It helps developers build applications to understand, analyze, and generate human language. The services support language understanding, entity recognition, sentiment analysis, translation, and text analytics. It provides SDKs and REST APIs that integrate easily with applications across different languages and platforms. Features Functionality Named Entity Recognition (NER) Detects and categorizes entities such as people, organizations, and locations within text. Personal and Health Data Detection (PII Detection) Identifies personally identifiable information in text and conversational data to protect sensitive personal [...]

Azure AI Language2025-05-19T12:30:11+00:00

Azure AI Content Safety

2025-05-09T12:53:34+00:00

Azure AI Content Safety Cheat Sheet Azure AI Content Safety is a collection of services to safeguard users and businesses by identifying and filtering harmful content across applications. Using AI models, it automatically detects sensitive material such as violence, hate speech, and adult content in various forms, including text, images, and videos. These services provide scalable content moderation solutions suitable for various platforms. Features Functionality Prompt Shields  Analyzes text to identify potential risks of user input attacks targeting large language models (LLMs). Groundedness Detection Assess whether text generated by LLMs is aligned with the source materials provided by the user.  [...]

Azure AI Content Safety2025-05-09T12:53:34+00:00

Azure AI Document Intelligence

2025-05-09T09:07:28+00:00

Azure AI Document Intelligence Cheat Sheet Azure AI Document Intelligence, previously known as Azure Form Recognizer, is a cloud-based AI service from Microsoft Azure designed to automate data extraction from various documents. By leveraging machine learning, it can analyze and extract key information such as text, tables, checkboxes, and other structured data from forms, invoices, receipts, and more. The service offers customization options to enhance data extraction accuracy for specific document formats or use cases. Key Benefits: Automates data extraction from documents Helps eliminate manual data entry and validation Scalable and highly customizable for different document formats Supports integration with [...]

Azure AI Document Intelligence2025-05-09T09:07:28+00:00

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