About This Book
- Leverage Python’s most powerful machine learning libraries for deep learning, data wrangling, and data visualization
- Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms
- Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets
If you want to find out how to use Python to start answering critical
questions of your data, pick up Python Machine Learning – whether you
want to get started from scratch or want to extend your data science
knowledge, this is an essential and unmissable resource.
What You Will Learn
- Find out how different machine learning can be used to ask different data analysis questions
- Learn how to build neural networks using Python libraries and tools such as Keras and Theano
- Write clean and elegant Python code to optimize the strength of your machine learning algorithms
- Discover how to embed your machine learning model in a web application for increased accessibility
- Predict continuous target outcomes using regression analysis
- Uncover hidden patterns and structures in data with clustering
- Organize data using effective pre-processing techniques
- Learn sentiment analysis to delve deeper into textual and social media data
In Detail
Machine learning is transforming the way businesses operate. Being
able to understand trends and patterns in complex data is critical to
success; it is today one of the key strategies for unlocking growth in a
challenging contemporary marketplace. Python can help you deliver key
insights into your data – its unique capabilities as a language let you
build sophisticated algorithms and statistical models that can reveal
new perspectives and answer key questions that are vital for success.
Python
Machine Learning gives you access to the world of machine learning and
demonstrates why Python is one of the world’s leading data science
languages. If you want to ask better questions of data, or need to
improve and extend the capabilities of your machine learning systems,
this practical data science book is invaluable. Covering a wide range of
powerful Python libraries, including scikit-learn, Theano, and Keras,
and featuring guidance and tips on everything from sentiment analysis to
neural networks, you’ll soon be able to answer some of the most
important questions facing you and your organization.
