Machine Learning for the Web

English | 2016 | ISBN: 978-1785886607 | 298 Pages | PDF, EPUB, AZW3 | 28 MB

Explore the web and make smarter predictions using Python
Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python’s impressive Django framework and will find out how to build a modern simple web app with machine learning features.
What You Will Learn

• Get familiar with the fundamental concepts and some of the jargons used in the machine learning community
• Use tools and techniques to mine data from websites
• Grasp the core concepts of Django framework
• Get to know the most useful clustering and classification techniques and implement them in Python
• Acquire all the necessary knowledge to build a web application with Django
• Successfully build and deploy a movie recommendation system application using the Django framework in Python