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    Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Debu Sinha

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Debu Sinha - okladka książki

    Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Debu Sinha - okladka książki

    Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Debu Sinha - audiobook MP3

    Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Debu Sinha - audiobook CD

    Autor:
    Debu Sinha
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    244
    Dostępne formaty:
         PDF
         ePub
    Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform.

    You’ll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you’ll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You’ll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows.

    By the end of this book, you’ll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.

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    O autorze książki

    Debu is an experienced Data Science and Engineering leader with deep expertise in Software Engineering and Solutions Architecture. With over 10 years in the industry, Debu has a proven track record in designing scalable Software Applications, Big Data, and Machine Learning systems. As Lead ML Specialist on the Specialist Solutions Architect team at Databricks, Debu focuses on AI/ML use cases in the cloud and serves as an expert on LLMs, Machine Learning, and MLOps. With prior experience as a startup co-founder, Debu has demonstrated skills in team-building, scaling, and delivering impactful software solutions. An established thought leader, Debu has received multiple awards and regularly speaks at industry events.

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