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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.

    Document digitization

    Top companies in document digitization using Machine Learning

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    The proliferation of digital technology has brought about the era of paperless operations. Among the areas that have significantly benefited from this digital revolution...
    cyberattack

    How AI and machine learning solve crimes

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    As technology evolves, criminals find innovative ways to exploit it. One of the most concerning trends in recent years has been using artificial intelligence...
    bitcoin

    Can AI and Machine Learning replace human traders?

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    A growing number of hedge funds are adopting artificial intelligence (AI) to develop forex trading strategies for both short- and long-term investments. AI’s general...
    voice recognition

    Voice computing (speech recognition) explained

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    Language is an important means of communication. Speech is its main medium. Designing a machine that converses with humans, particularly responding properly to spoken...
    Python

    What makes Python so popular with developers?

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    According to Python statistics 2020, there were 8.2 million Python developers worldwide. For comparison, in September 2019, there were 7 million Python developers as...
    Python

    Why Python is the fastest-growing programming language

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    Python is a powerful high-level, object-oriented, general-purpose programming language created by Guido van Rossum. It has been widely used recently, as it is suitable...
    KNN-algorithm

    Pros and cons of the K-Nearest Neighbors (KNN) algorithm

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    K-Nearest Neighbors (KNN) is a simple yet powerful classification algorithm that classifies based on a similarity measure. This supervised ML algorithm can be used...
    machine learning

    Machine Learning: Cloud or On-Premise?

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    New technologies are always emerging, changing the way people live and work. Artificial intelligence (AI) is a revolutionary technology impacting virtually every industry. Manufacturing,...
    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...
    Python

    41 popular Python libraries for various applications

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    Python is a powerful high-level, interactive, object-oriented scripting language created by Guido Van Rossum in the late 1980s. It is an object-oriented language, meaning...
    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...
    Python

    8 reasons why you should learn Python

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    Python is one of the most popular languages used to build just about anything nowadays. It is a great language for data analysis, scientific...