Apress Monetizing machine learning: quickly turn python ml ideas into web applications on the serverless cloud, paperback/manuel amunategui

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Description Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection.

Some of the most popular serverless cloud providers are covered in this book--Amazon, Microsoft, Google, and Python Anywhere.

You will work through a series of common Python data science problems in an increasing order of complexity.

The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects.

You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations.

You will get your projects into the hands of the world in no time.

Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider.

You can easily jump to or skip particular topics in the book.

You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book.

What You'll Learn Extend your machine learning models using simple techniques to create compelling and interactive web dashboards Leverage the Flask web framework for rapid prototyping of your Python models and ideas Create dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more Harness the power of Tensor Flow by exporting saved models into web applications Create rich web dashboards to handle complex real-time user input with Java Script and Ajax to yield interactive and tailored content Create dashboards with paywalls to offer subscription-based access Access API data such as Google Maps, Open Weather, etc.

Apply different approaches to make sense of text data and return customized intelligence Build an i.