Using Security Hub in AWS
Absolutely! Here’s a comprehensive and detailed guide (3000+ words) on Using Security Hub in AWS, covering everything from foundational concepts to advanced configuration and integration. This guide is ideal for….
Tag: Machine Learning
Connected vehicles using edge-cloud
Connected Vehicles Using Edge-Cloud: A Comprehensive Guide Introduction The advent of connected vehicles has fundamentally transformed the automotive industry, offering new opportunities for improving safety, efficiency, and convenience. With the….
Industrial IoT with cloud
Industrial IoT with Cloud: A Comprehensive Guide Introduction: The convergence of Industrial Internet of Things (IIoT) with cloud computing is transforming industries globally by providing a new era of automation,….
Real-time sensor data processing
Real-time Sensor Data Processing: A Comprehensive Guide Introduction: In today’s interconnected world, the volume of data generated by sensors and Internet of Things (IoT) devices is growing exponentially. This sensor….
Deploying AI at the edge
Deploying AI at the Edge: A Comprehensive Guide Introduction: Artificial Intelligence (AI) and Machine Learning (ML) have made transformative strides over the past few years, revolutionizing how industries and businesses….
OCR and document parsing using AI Builder (Power Platform)
OCR and Document Parsing Using AI Builder (Power Platform): A Detailed Guide Introduction In today’s data-driven world, organizations often deal with large amounts of unstructured data, including paper documents, PDFs,….
Sentiment analysis using cloud services
Sentiment Analysis Using Cloud Services: A Detailed Guide Introduction: Sentiment analysis is a natural language processing (NLP) task that aims to determine the sentiment expressed in a piece of text,….
End-to-end ML pipeline on AWS Sage Maker
An end-to-end machine learning (ML) pipeline is a series of processes or stages that help to manage and automate the entire lifecycle of ML models—from data collection and preprocessing to….
Training custom models using cloud GPUs/TPUs
Training custom machine learning (ML) models using cloud-based accelerators such as Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs) offers significant advantages in terms of performance, scalability, and cost-effectiveness…..
Speech-to-text models using AWS Transcribe
Amazon Transcribe is a fully managed automatic speech recognition (ASR) service provided by AWS, enabling developers to add speech-to-text capabilities to applications. It converts both real-time and recorded speech into….