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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.

    Natural Language Processing [Sneak Peek]

    Posted By: IrGens
    Natural Language Processing [Sneak Peek]

    Natural Language Processing [Sneak Peek]
    .MP4, AVC, 3400 kbps, 1280x720 | English, AAC, 192 kbps, 2 Ch | 2h 21m | 4.13 GB
    Instructor: Bruno Goncalves

    The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

    Introduction

    Lesson 1: Text Representations

    Learning objectives

    1.1 Represent words and numbers

    1.2 Use one-hot encoding

    1.3 Implement bag-of-words

    1.4 Apply stop words

    1.5 Understand TF/IDF

    1.6 Understand stemming

    Lesson 2: Topic Modeling

    Learning objectives

    2.1 Find topics in documents

    2.2 Perform explicit semantic analysis

    2.3 Implement document clustering

    2.4 Implement Latent Semantic Analysis

    2.5 Understand non-negative matrix factorization

    Lesson 3: Sentiment Analysis

    Learning objectives

    3.1 Quantify words and feelings

    3.2 Use negations and modifiers

    3.3 Use corpus-based approaches

    Lesson 4: Applications

    Learning objectives

    4.1 Understand word2vec word embeddings

    4.2 Define GloVe

    4.3 Apply language detection

    Summary



    Natural Language Processing [Sneak Peek]