Python is also an open source general-purpose, high-level programming language. This means that it allows you to perform other functions, such as web/mobile/desktop application development along with scientific, mathematical, and statistical programming. Python is very popular among developers and also among the scientific community, such as R for the statistics community. Python is also popular for tasks such as data wrangling or munging, which is loosely the process of manually converting or mapping data from one raw form to another format that allows more convenient consumption of data. For such tasks, the Pandas library in Python is very useful and is used widely. The DataFrame
objects comes with the Pandas library and in Azure ML, Microsoft ships this library along with the base Python and other useful libraries, such as NumPy
, SciPy
, Pandas
, IPython
, Matplotlib
, and so on. If you are already familiar with Python then it's the Anaconda distribution of Python...
Microsoft Azure Machine Learning
By :
Microsoft Azure Machine Learning
By:
Overview of this book
Table of Contents (21 chapters)
Microsoft Azure Machine Learning
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction
ML Studio Inside Out
Data Exploration and Visualization
Getting Data in and out of ML Studio
Data Preparation
Regression Models
Classification Models
Clustering
A Recommender System
Extensibility with R and Python
Publishing a Model as a Web Service
Case Study Exercise I
Case Study Exercise II
Index
Customer Reviews