Predictive Analytics for the Modern Enterprise: A Practitioner's Guide to Design

Description: Predictive Analytics for the Modern Enterprise by Nooruddin Abbas Ali Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics in the cloud. Author Nooruddin Abbas Ali, principal solutions architect at MongoDB, brings you up to speed through industry use cases and end-to-end hands-on examples. Publisher Description The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in todays forward-thinking companies. If youre a data professional, you need to be aligned with your companys business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics in the cloud. Author Nooruddin Abbas Ali, principal solutions architect at MongoDB, brings you up to speed through industry use cases and end-to-end hands-on examples. This book helps business technology leaders: Implement and operationalize predictive analytics in your organization Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Learn the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine learning process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow Author Biography Nooruddin Abbas Ali is a global leader for ecosystem and AI partner Solutions Architects at MongoDB. This select global team works with innovative customers and partners looking to disrupt their respective industries. It is the teams belief that data is the key to unlocking business potential and bringing about the sustainable disruption that moves the human race forward. Nooruddin has been in the tech and service management industry for over 20 years, where he has held several positions in development, professional services, management, pre-sales, and thought leadership. He has worked for 0-1 startups, large public cloud providers (Alibaba Cloud), hypergrowth data platform companies (MongoDB), and end-to-end large system integrators.Nooruddin has been working with distributed data systems and cloud technologies for over a decade. He has experience and credentials in multiple cloud technologies, architecture best practices, AI, and application data platforms. This unique combination of data and cloud skills, coupled with his experience at various levels of the enterprise spectrum, has allowed him to amass the knowledge and field experience required to make this book multifaceted while having depth on core foundations of predictive analytics. Details ISBN 1098136861 ISBN-13 9781098136864 Title Predictive Analytics for the Modern Enterprise Author Nooruddin Abbas Ali Format Paperback Year 2024 Pages 348 Publisher OReilly Media GE_Item_ID:160584192; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-11-27T07:09:06.000Z

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