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  1. Programming Language Machine Learning の検索結果を含めています。
    +Programong Language Machine Learning の検索結果のみを表示しますか?
  2. Machine learning (ML) leverages various programming languages, each offering unique advantages based on the project's requirements, scalability, and complexity. Below are some of the most commonly used languages in ML development:

    Python is the most popular language for machine learning due to its simplicity, extensive library support, and active community. Libraries like TensorFlow, Keras, Scikit-learn, Pandas, and NumPy make it ideal for tasks like deep learning, natural language processing (NLP), and predictive analytics.

    R is widely used for statistical modeling and data visualization. Its libraries like Caret, Tidyverse, and RandomForest are excellent for statistical inference, genomics, and epidemiology studies.

    Java is preferred for large-scale enterprise applications due to its platform independence and scalability. Libraries such as Deeplearning4j and Weka make it suitable for fraud detection, recommendation systems, and CRM systems.

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  11. Programming Language Machine Learning の検索結果を含めています。
    +Programong Language Machine Learning の検索結果のみを表示しますか?