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Machine Learning with Spark and Python 2nd Edition Michael Bowles, ISBN-13: 978-1119561934
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"Machine Learning with Spark and Python, 2nd Edition" by Michael Bowles offers a comprehensive guide to implementing machine learning techniques using Apache Spark and Python. This edition provides updated content that covers the latest features of Spark's MLlib library, making it suitable for both beginners and experienced practitioners. The book addresses a wide range of topics, including data preprocessing, classification, regression, clustering, collaborative filtering, and model evaluation, along with practical examples and real-world applications. By combining theoretical concepts with hands-on exercises, it enables readers to harness the power of big data and scalable machine learning solutions effectively.
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Title: Machine Learning with Spark and Python
Author: Michael Bowles
Edition: 2nd Edition
ISBN-13: 978-1119561934
Publisher: Wiley
Publication Year: 2020
Pages: 288
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"Machine Learning with Spark and Python, 2nd Edition" by Michael Bowles provides a comprehensive guide to mastering machine learning techniques using Apache Spark and Python. This updated edition not only covers foundational concepts but also delves into advanced applications, making it suitable for both beginners and seasoned practitioners. With practical examples and hands-on projects, readers gain valuable insights into implementing scalable machine learning solutions. Overall, Bowles’ work stands as an essential resource for anyone looking to leverage the power of Spark in the evolving landscape of data science.
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