Expand your Python knowledge and learn all about machine-learning
libraries in this user-friendly manual. ML is the next big breakthrough
in technology and this book will give you the head-start you need.
Key Features:
-
Master Machine Learning using a broad set of Python libraries and
start building your own Python-based ML systems
-
Covers classification, regression, feature engineering, and much more
guided by practical examples
-
A scenario-based tutorial to get into the right mind-set of a machine
learner (data exploration) and successfully implement this in your new
or existing projects
Book Description:
Machine learning, the field of building systems that learn from data, is
exploding on the Web and elsewhere. Python is a wonderful language in
which to develop machine learning applications. As a dynamic language,
it allows for fast exploration and experimentation and an increasing
number of machine learning libraries are developed for Python.Building
Machine Learning system with Python shows you exactly how to find
patterns through raw data. The book starts by brushing up on your Python
ML knowledge and introducing libraries, and then moves on to more
serious projects on datasets, Modelling, Recommendations, improving
recommendations through examples and sailing through sound and image
processing in detail. Using open-source tools and libraries, readers
will learn how to apply methods to text, images, and sounds. You will
also learn how to evaluate, compare, and choose machine learning
techniques. Written for Python programmers, Building Machine Learning
Systems with Python teaches you how to use open-source libraries to
solve real problems with machine learning. The book is based on
real-world examples that the user can build on.
Readers will learn how to write programs that classify the quality of
StackOverflow answers or whether a music file is Jazz or Metal. They
will learn regression, which is demonstrated on how to recommend movies
to users. Advanced topics such as topic modeling (finding a text's most
important topics), basket analysis, and cloud computing are covered as
well as many other interesting aspects.Building Machine Learning Systems
with Python will give you the tools and understanding required to build
your own systems, which are tailored to solve your problems.
What You Will Learn:
Build a classification system that can be applied to text, images, or
sounds
Use scikit-learn, a Python open-source library for machine learning
Explore the mahotas library for image processing and computer vision
Build a topic model of the whole of Wikipedia
Get to grips with recommendations using the basket analysis
Use the Jug package for data analysis
Employ Amazon Web Services to run analyses on the cloud
Recommend products to users based on past purchases
