توضیحات
This book teaches how to build scalable machine learning models with Python, covering essential topics like data preprocessing, distributed computing with frameworks such as Spark and Hadoop, advanced algorithms including ensemble methods and deep learning, and handling streaming data. Through hands-on examples and real-world projects, it equips data scientists and developers with the skills to efficiently process big data and deploy high-performance machine learning solutions.
نقد و بررسیها
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