Get more from your data with the power of Python machine learning
systems
Key Features:
-
Build your own Python-based machine learning systems tailored to solve
any problem
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Discover how Python offers a multiple context solution for create
machine learning systems
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Practical scenarios using the key Python machine learning libraries to
successfully implement in your projects
Book Description:
Using machine learning to gain deeper insights from data is a key skill
required by modern application developers and analysts alike. Python is
a wonderful language to develop machine learning applications. As a
dynamic language, it allows for fast exploration and experimentation.
With its excellent collection of open source machine learning libraries
you can focus on the task at hand while being able to quickly try out
many ideas.
This book shows you exactly how to find patterns in your raw data. You
will start by brushing up on your Python machine learning knowledge and
introducing libraries. You'll quickly get to grips with serious,
real-world projects on datasets, using modeling, creating recommendation
systems. Later on, the book covers advanced topics such as topic
modeling, basket analysis, and cloud computing. These will extend your
abilities and enable you to create large complex systems.
With this book, you gain the tools and understanding required to build
your own systems, tailored to solve your real-world data analysis
problems.
What You Will Learn:
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Build a classification system that can be applied to text, images, or
sounds
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Use NumPy, SciPy, scikit-learn - scientific Python open source
libraries for scientific computing and machine learning
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Explore the mahotas library for image processing and computer vision
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Build a topic model for the whole of Wikipedia
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Employ Amazon Web Services to run analysis on the cloud
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Debug machine learning problems
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Get to grips with recommendations using basket analysis
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Recommend products to users based on past purchases
Who this book is for:
