Description: Predictive Analytics for the Modern Enterprise : A Practitioner's Guide to Designing and Implementing Solutions, Paperback by Ali, Nooruddin Abbas, ISBN 1098136861, ISBN-13 9781098136864, Brand New, Free shipping in the US The surging predictive analytics market is expected to grow from $ 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 today's forward-thinking companies. If you're a data professional, you need to be aligned with your company's 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 organizationExplore ways that predictive analytics can provide direct input back to your businessUnderstand mathematical tools commonly used in predictive analyticsLearn the development frameworks used in predictive analytics applicationsAppreciate the role of predictive analytics in the machine learning processExamine industry implementations of predictive analyticsBuild, train, and retrain predictive models using Python and TensorFlow
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Location: Jessup, Maryland
End Time: 2024-11-16T10:27:50.000Z
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Book Title: Predictive Analytics for the Modern Enterprise : A Practitioner's
Number of Pages: 358 Pages
Publication Name: Predictive Analytics for the Modern Enterprise : A Practitioner's Guide to Designing and Implementing Solutions
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2024
Item Height: 0.8 in
Subject: Data Visualization, Data Processing, Databases / Data Mining, Forecasting, Statistics, Programming Languages / Python
Type: Textbook
Item Weight: 22 Oz
Author: Nooruddin Abbas Ali
Subject Area: Computers, Business & Economics
Item Length: 9.3 in
Item Width: 7.8 in
Format: Trade Paperback
