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Tag: Docker

Applying voice classification in an Amazon Connect telemedicine contact flow

Given the rising demand for fast and effective COVID-19 detection, customers are exploring the usage of respiratory sound data, like coughing, breathing, and...

Solving numerical optimization problems like scheduling, routing, and allocation with Amazon SageMaker Processing

In this post, we discuss solving numerical optimization problems using the very flexible Amazon SageMaker Processing API. Optimization is the process of finding...

Deep Learning-based Real-time Video Processing

Deep Learning-based Real-time Video Processing = Previous post Next post =>    Tags: Computer Vision, Deep Learning, Neural Networks, Video...

Using container images to run PyTorch models in AWS Lambda

PyTorch is an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on...

Building secure machine learning environments with Amazon SageMaker

As businesses and IT leaders look to accelerate the adoption of machine learning (ML) and artificial intelligence (AI), there is a growing need...

Training and deploying models using TensorFlow 2 with the Object Detection API on Amazon SageMaker

With the rapid growth of object detection techniques, several frameworks with packaged pre-trained models have been developed to provide users easy access to...

How to Automate Testing of Your WhatsApp Chatbot

Botium delivers again — in this case, automated end-2-end testing of WhatsApp chatbots on real or virtual devices. For the first time it...

Using genetic algorithms on AWS for optimization problems

Machine learning (ML)-based solutions are capable of solving complex problems, from voice recognition to finding and identifying faces in video clips or photographs....

4 Great Cryptocurrency Libraries for Python

From price quotes to trade execution, these are some of the best options for digging into crypto with Python

How to create your own Question and Answering API(Flask+Docker +BERT) using haystack framework

Create Your Own Question and Answering API(Flask+Docker +BERT) ...

Managing your machine learning lifecycle with MLflow and Amazon SageMaker

With the rapid adoption of machine learning (ML) and MLOps, enterprises want to increase the velocity of ML projects from experimentation to production....

Building a Complete AI Based Search Engine with Elasticsearch, Kubeflow and Katib

Building search systems is hard. Preparing them to work with machine learning is really hard. Developing a complete search engine framework integrated with...

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