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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Computer Vision and NLP with AWS ML and Python Boto3

    Posted By: lucky_aut
    Computer Vision and NLP with AWS ML and Python Boto3

    Computer Vision and NLP with AWS ML and Python Boto3
    Duration: 1h 58m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 753 MB
    Genre: eLearning | Language: English

    Learn to build computer vision and NLP app like sentiment analysis, keyword extraction, object detection using AWS

    What you'll learn:
    Learn the fundamental concepts of natural language processing
    Learn how to use AWS NLP services like Comprehend, Transcribe, Translate, Polly and much more
    Learn how to do sentiment analysis of a phrase
    Learn to translate text into different languages
    Learn to create voice enable applications using Transcribe and Polly
    Learn how to create text to speech and speech to text functionality
    Learn to build NER - Named entity recognition
    Learn to create and use POS tagging
    Learn to use AWS SDK for Python with Boto3 library

    Requirements:
    Must have python and required python lib installed on system
    AWS CLI installed on system
    Knowledge of NLP and computer vision would be helpful. But not necessary.

    Description:
    Natural Language processing and Computer Vision are indispensable domain in Artificial Intelligence, NLP that helps machine understand, interpret, manipulate and respond to human language whereas Computer Vision helps in extraction of information and insights from an images and videos.
    In this course, you will learn about Natural language processing & Computer Vision and it's application with the help of AWS Comprehend, Translate, Transcribe, Rekognition and Polly.

    What is AWS Comprehend ?
    Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to identify the language of the text, extract key phrases, places, people, brands, or events, understand sentiment about products or services, and identify the main topics from a library of documents.

    What is AWS Translate ?
    Amazon Translate is a neural machine translation service that enables to translate between a source language and a target language .

    What is AWS Transcribe ?
    AWS transcribe service that helps to add speech to text functionality into the applications.

    What is AWS Polly ?
    Amazon Textract is a machine learning (ML) service that transform text into human voice.

    What is AWS Rekognition?
    Amazon Rekognition is a service that makes it easy to add powerful visual analysis to your applications. Rekognition Image lets you easily build powerful applications to search, verify, and organize millions of images. Rekognition Video lets you extract motion-based context from stored or live stream videos and helps you analyze them.

    Who this course is for:
    Machine Learning enthusiast
    Cloud Architect
    NLP engineer
    ML engineer

    More Info

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