Machine Learning with Python Cookbook, 2/e

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Machine Learning with Python Cookbook, 2/eThis practical guide provides more than 200 self contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to

and concepts that comprise a framework for digital enterprise architecture

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from smart TVs to WiFi routers

"Think of Operators as site reliability engineers in software

where he enjoys the rare role of bridging the divide between database professionals and application developers

the creator of the Python pandas project

Install Docker

and connected business solutions when the individual components are decoupled and independent design

to automate repetitive tasks or complete business processes without manual intervention

demonstrating why types work

Much of it is surprisingly contrary to what ‘everyone knows

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