Predictive Analytics for the Modern Enterprise - A Practitioner's Guide to Designing and Implementing Solutions

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 today's forward-thinking companies. >

• 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

About the author

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 team's 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.

Product details

• Authors: Nooruddin Ali, Nooruddin Abbas Ali, Nooruddin Abbas Ali
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 29.12.2023
• EAN: 9781098136864
• ISBN: 978-1-09-813686-4
• Dimensions: 178 mm x 233 mm x 15 mm
• Weight: 666 g
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages; machine learning, Data Mining, BUSINESS & ECONOMICS / Operations Research, Enterprise Software, Information visualization, Operational research, Programming & scripting languages: general, COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Data Visualization, Programming and scripting languages: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis, COMPUTERS / Languages / General, COMPUTERS / Business & Productivity Software / General