Predictive Analytics with Microsoft Azure Machine Learning 
by Roger Barga, Valentine Fontama, Wee Hyong Tok
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities throug...
Price: $24.59 | Publisher: Apress | Release: 2014
Building Probabilistic Graphical Models with Python
by Kiran R Karkera
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You'v...
Price: $16.99 | Publisher: Packt Publishing | Release: 2014
by Ivan Idris
Dive deeper into data analysis with the flexibility of Python and learn how its extensive range of scientific and mathematical libraries can be used to solve some of the toughest challenges in data analysis. Build your confidence and expertise and develop valuable skills in high demand in a world driven by Big Data with this expert data analysis book.This data science tutorial will help you learn how to eff...
Price: $49.99 | Publisher: Packt Publishing | Release: 2014
by L. Felipe Martins
In data science, it is difficult to present interesting visual or technical content, as it involves scientific notations that are not easy to type in a normal document format. IPython provides a web-based UI called Notebook, which creates a working environment for interactive computing that combines code execution with computational documents. IPython Notebook makes the task simpler as it was developed for ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2014
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
by Cathy O'Neil, Rachel Schutt
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype? This insightful book, based on Columbia University's Introduction to Data Science class, tells you what you need to know.In many of these chapter-lon...
Price: $5.57 | Publisher: O'Reilly Media | Release: 2013
by Foster Provost, Tom Fawcett
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA c...
Price: $23.99 | Publisher: O'Reilly Media | Release: 2013
by Russell Jurney
Mining big data requires a deep investment in people and time. How can you be sure you're building the right models? With this hands-on book, you'll learn a flexible toolset and methodology for building effective analytics applications with Hadoop.Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with ...
Price: $7.00 | Publisher: O'Reilly Media | Release: 2013
Mining the Social Web, 2nd Edition
by Matthew A. Russell
How can you tap into the wealth of social web data to discover who's making connections with whom, what they're talking about, and where they're located? With this expanded and thoroughly revised edition, you'll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.The examp...
Price: $11.96 | Publisher: O'Reilly Media | Release: 2013
by Harlan Harris, Sean Murphy, Marck Vaisman
There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations req...
Price: $9.99 | Publisher: O'Reilly Media | Release: 2013