Automated Machine Learning in Action reveals how premade machine learning components can automate time-consuming ML tasks. It’s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. You’ll use tools like AutoKeras to create pipelines that automatically select the best approach for your task, remove the burden of manual tuning, and can even be implemented by machine learning novices! Learn more about the book here: http://mng.bz/Qme1

1. Optimizing ML
pipelines
with Automated Machine Learning in
Action.
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discount code box at checkout at
manning.com.

2. Automated machine learning
(AutoML) automates complex and
time-consuming stages in a machine
learning pipeline with prepackaged
optimal solutions.
This frees up data scientists from
data processing and manual tuning,
and lets domain experts easily apply
machine learning models to their
projects.

3. Automated Machine Learning in Action reveals how premade machine
learning components can automate time-consuming ML tasks. It’s filled
with hands-on examples for applying AutoML techniques to every stage
of a pipeline. You’ll use tools like AutoKeras to create pipelines that
automatically select the best approach for your task, remove the burden
of manual tuning, and can even be implemented by machine learning
novices!

4. Automated Machine Learning in Action teaches you to automate your
machine learning pipelines with AutoKeras and Keras Tuner. Written by
the creators of the AutoKeras system, it’s full of AutoML techniques and
advanced toolkits for optimizing how your machine learning models
function.

5. What people are saying
about the book:
Helps you to clearly
understand the process
of Machine Learning
automation. The
examples are clear,
concise, and applicable
to the real world.
-Walter Alexander Mata López
Automating automation itself is
a new concept and this book
does justice to it in terms of
explaining the concepts, sharing
real world advancements, use
cases and research related to
the topic.
-Satej Kumar Sahu

6. About the authors:
Qingquan Song, Haifeng Jin, and
Dr. Xia “Ben” Hu are the creators
of the AutoKeras automated deep
learning library. Qingquan and
Haifeng are PhD students at Texas
A&M University, and have both
published papers at major data
mining conferences and journals.
Dr. Hu is an associate professor at
Texas A&M University in the
Department of Computer Science
and Engineering, whose work has
been utilized by TensorFlow, Apple,
and Bing.

7. Take 40% off Automated Machine
Learning in Action by entering slsong into
the discount code box at checkout at
manning.com.
If you want to learn more about the
book, you can check it out on our
browser-based liveBook platform here.