
Sách keo gáy, bìa mềm
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.
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 on-premises or in the cloud.
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
Thể loại:Computers - Organization and Data Processing
Năm:2024
In lần thứ:1
Ngôn ngữ:english
Trang:361