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Rescooped by Ravi Prakash from BIG data, Data Mining, Predictive Modeling, Visualization
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A Conversation with Nate Silver: Analytic Evolutions, Big Data Failures and Data Visualizations

In this interview, SAS' data-driven marketer Alex Krawchick sits down with celebrity statistician, author and New York Times blogger Nate Silver. They discus...

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Intuitive Classification using KNN and Python

Intuitive Classification using KNN and Python | StatisticalLearning | Scoop.it

K-nearest neighbors, or KNN, is a supervised learning algorithm for either classification or regression. It's super intuitive and has been applied to many types of problems.

It's great for many applications, with personalization tasks being among the most common. To make a personalized offer to one customer, you might employ KNN to find similar customers and base your offer on their purchase behaviors. KNN has also been applied to medical diagnosis and credit scoring.

This is a post about the K-nearest neighbors algorithm and Python.

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Rescooped by Ravi Prakash from IT Books Free Share
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Real-Time Big Data Analytics: Emerging Architecture - Free eBook Share

Real-Time Big Data Analytics: Emerging Architecture - Free eBook Share | StatisticalLearning | Scoop.it
eBook Free Download: Real-Time Big Data Analytics: Emerging Architecture | PDF, EPUB | ISBN: B00DO33RSW | 2013-06-24 | English | PutLocker

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Fox eBook's curator insight, July 23, 2013 2:19 PM

Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get

the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

Table of Contents

1. Introduction
2. How Fast Is Fast?
3. How Real Is Real Time?
4. The RTBDA Stack
5. The Five Phases of Real Time
6. How Big Is Big?
7. Part of a Larger Trend

rajesh's curator insight, January 14, 2014 12:27 AM

i need to read the book

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Python Power!: The Comprehensive Guide - Free eBook Share

Python Power!: The Comprehensive Guide - Free eBook Share | StatisticalLearning | Scoop.it
eBook Free Download: Python Power!: The Comprehensive Guide | PDF, EPUB | ISBN: 1598631586 | 2007-07-24 | English | PutLocker

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Fox eBook's curator insight, July 26, 2013 10:14 PM

Python, a powerful and flexible general purpose programming language is growing in popularity as more people become interested in programming using open source languages. “Python Power!: The Comprehensive Guide” shows readers how to use Python to run Web sites, write GUI interfaces, control number-crunching code, process large XML data sets, build test suites for C or Java code, and much more. Technical topics are explained clearly and concisely and end-of-chapter projects encourage the reader to program on their own. A detailed table of contents and a complete, well-organized index make this book a great reference tool. All code used in the book will be available for download on the companion website.

Table of Contents

CHAPTER 1 About Python
CHAPTER 2 Python Language Overview
CHAPTER 3 Tools
CHAPTER 4 Data Types
CHAPTER 5 Control Flow
CHAPTER 6 Input and Output
CHAPTER 7 Functions and Modules
CHAPTER 8 Exception Handling
CHAPTER 9 Object-Oriented Programming
CHAPTER 10 Classes and Objects in Python
CHAPTER 11 The Python Library
CHAPTER 12 The GUI — TkInter
CHAPTER 13 The Web Server—Apache
CHAPTER 14 Working with Databases
CHAPTER 15 Putting It All Together
CHAPTER 16 Python and Graphics