Data Science and Engineering at Enterprise Scale (Grayscale Indian Edition)

Disclaimer Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of O'Reilly are Printed in Grayscale. As enterprise-scale data science sharpens its focus on data-driven decision making and machine learning, new tools have emerged to help facilitate these processes. This practical ebook shows data scientists and enterprise developers how the notebook interface, Apache Spark, and other collaboration tools are particularly well suited to bridge the communication gap between their teams. Through a series of real-world examples, author Jerome Nilmeier demonstrates how to generate a model that enables data scientists and developers to share ideas and project code. You’ll learn how data scientists can approach real-world business problems with Spark and how developers can then implement the solution in a production environment. Dive deep into data science technologies, including Spark, TensorFlow, and the Jupyter Notebook Learn how Spark and Python notebooks enable data scientists and developers to work together Explore how the notebook environment works with Spark SQL for structured data Use notebooks and Spark as a launchpad to pursue supervised, unsupervised, and deep learning data models Learn additional Spark functionality, including graph analysis and streaming Explore the use of analytics in the production environment, particularly when creating data pipelines and deploying code

Disclaimer:

• Data Science and Engineering at Enterprise Scale (Grayscale Indian Edition) book is not for reading online or for free download in PDF or eBook format.
• Table of Contents, Index, Syllabus, summary and image of Data Science and Engineering at Enterprise Scale (Grayscale Indian Edition) may be of a different edition or of the same title.
• Price can change due to reprinting, price change by publisher or sourcing cost change for imported books.