توضیحات
This book provides hands-on instruction for implementing machine learning solutions using Python libraries such as Scikit-Learn, Keras, and TensorFlow. Covering supervised and unsupervised learning, deep learning, and model deployment, it equips students, developers, and AI practitioners with practical skills to design, train, and deploy robust machine learning models for real-world applications.
نقد و بررسیها
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