by Trent Hauck
Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.The book starts by walking through different methods to prepare your data - be it a dataset with ...
Price: $44.99 | Publisher: Packt Publishing | Release: 2014
FREE EBOOK - Practical Data Analysis 
by Hector Cuesta
Plenty of small businesses face big amounts of data but lack the internal skills to support quantitative analysis. Understanding how to harness the power of data analysis using the latest open source technology can lead them to providing better customer service, the visualization of customer needs, or even the ability to obtain fresh insights about the performance of previous products. Practical Data Analys...
Price: $29.99 | Publisher: Packt Publishing | Release: 2013
by Drew Conway, John Myles White
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation....
Price: $18.12 | Publisher: O'Reilly Media | Release: 2012
Statistical and Machine Learning Approaches for Network Analysis
by Matthias Dehmer, Subhash C. Basak
Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning...
Price: $96.56 | Publisher: Wiley | Release: 2012
Reinforcement and Systemic Machine Learning for Decision Making
by Parag Kulkarni
There are always difficulties in making machines that learn from experience. Complete information is not always available - or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new pa...
Price: $76.50 | Publisher: Wiley | Release: 2012
Natural Language Annotation for Machine Learning
by James Pustejovsky, Amber Stubbs
Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process.Systems exist for analyzing existing corpora...
Price: $31.99 | Publisher: O'Reilly Media | Release: 2012
by Peter Harrington
A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interesting or useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many.Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes yo...
Price: $22.27 | Publisher: Manning | Release: 2012
by Pete Warden
To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.This handy glossary also includes a chapter of key terms that help define many of these tool categories...
Price: $14.99 | Publisher: O'Reilly Media | Release: 2011
Programming Collective Intelligence
by Toby Segaran
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from us...
Price: $11.00 | Publisher: O'Reilly Media | Release: 2007
Modeling the Internet and the Web
by Pierre Baldi, Paolo Frasconi, Padhraic Smyth
Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet.Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including c...
Price: $6.98 | Publisher: Wiley | Release: 2003