Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

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.