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    Machine Learning

    Machine Learning (ML), a subset of AI, allows systems to learn from data and improve over time. Explore ML algorithms, model training, and real-world applications in image recognition, natural language processing, and robotics.

    youtube

    Top 10 Machine Learning Youtube channels to follow [Updated]

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    Machine learning is a rapidly evolving field, and staying updated with the latest advancements and techniques is essential for enthusiasts and professionals alike. YouTube...
    ai-ml

    15 hottest Machine Learning and AI startups in 2020

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    The combination of data, technology, and talent has made it possible for today’s intelligent systems to reach a critical point that drives extraordinary growth...

    7 simple reasons to shift your machine learning project to cloud

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    In areas such as customer support, fraud detection, and business intelligence, artificial intelligence and machine learning are continually making their way into business applications....
    machine learning

    Machine Learning: A key component in business transformation

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    Machine learning (ML) is experiencing an unprecedented boom in several academic and business fields and is an important lever for transformation in the business...
    Support Vector Machine (SVM)

    Pros and cons of Support Vector Machine (SVM)

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    Support vector machines (SVMs) are effective yet adaptable supervised machine learning algorithms for regression and classification. However, they are typically employed in classification issues. SVMs...
    NLP

    Top 22 Natural Language Processing (NLP) frameworks

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    More and more businesses rely on the processing of large amounts of natural language data in various formats (images or videos) on the web...
    random forest

    Pros and cons of Random Forest Algorithm

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    Random Forest is an easy-to-use, supervised machine learning algorithm used for classification and regression problems. It can produce a great result, even without hyperparameter...
    computer-vision

    Top 10 computer vision frameworks you need to know in 2022

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    Computer vision is a fast-growing field of science that deals with the extraction of information from digital images and videos to gain a high-level...
    machine learning

    Top 8 challenges in implementing machine learning models

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    Data plays a fundamental role in just about all of our lives. A massive amount of digital information, called big data, is rapidly generated...
    anomaly detection

    Pros and cons of anomaly detection techniques

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    Our recent post about data anomaly detection explored various supervised and unsupervised techniques commonly used to identify intrusions and non-authorized activities. This post will...
    Machine vision

    Machine vision systems: 1D, 2D, and 3D

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    Machine vision is a technology that automatically extracts information from digital images for process or quality control. Since it is better suited to repetitive...

    250 research papers and projects in Face Recognition – Free Download

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    Face recognition technology has become part of our daily lives with the growing demand for personal authentication on apps and services on the web....