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Monetizing Machine Learning - Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud (Paperback, 1st ed.)
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Monetizing Machine Learning - Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud (Paperback, 1st ed.)
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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 PythonAnywhere. 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 TensorFlow by exporting saved models into web
applications Create rich web dashboards to handle complex real-time
user input with JavaScript and Ajax to yield interactive and
tailored content Create dashboards with paywalls to offer
subscription-based access Access API data such as Google Maps,
OpenWeather, etc. Apply different approaches to make sense of text
data and return customized intelligence Build an intuitive and
useful recommendation site to add value to users and entice them to
keep coming back Utilize the freemium offerings of Google Analytics
and analyze the results Take your ideas all the way to your
customer's plate using the top serverless cloud providers Who This
Book Is For Those with some programming experience with Python,
code editing, and access to an interpreter in working order. The
book is geared toward entrepreneurs who want to get their ideas
onto the web without breaking the bank, small companies without an
IT staff, students wanting exposure and training, and for all data
science professionals ready to take things to the next level.
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