Sat.Sep 27, 2014 - Fri.Oct 03, 2014

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Data Science 101 : Playing with Scraping in Python

MLWhiz

This is a simple illustration of using Pattern Module to scrape web data using Python. We will be scraping the data from imdb for the top TV Series along with their ratings We will be using this link for this: [link] This URL gives a list of top Rated TV Series which have number of votes atleast 5000. The Thing to note in this URL is the “&start=” parameter where we can specify which review should the list begin with.

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Governed data discovery – looking at the importance of managing data validity

Wise Analytics

The role of governed data discovery is becoming increasingly important as organizations manage more complex and diverse data that they want to gain insights from. Self-service BI access and broader data discovery capabilities means that BI is deployed to more users who leverage data in the way that best suits them and not according to pre-defined analytics.

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Reminder: VCDX Study Workshop for Mock Defenses at VMware HQ (Oct 4-5)

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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Dictvectorizer for One Hot Encoding of Categorical Data

MLWhiz

THE PROBLEM: Recently I was working on the Criteo Advertising Competition on Kaggle. The competition was a classification problem which basically involved predicting the click through rates based on several features provided in the train data. Seeing the size of the data (11 GB Train), I felt that going with Vowpal Wabbit might be a better option. But after getting to an CV error of.47 on the Kaggle LB and being stuck there , I felt the need to go back to Scikit learn.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Learning pyspark – Installation – Part 1

MLWhiz

This is part one of a learning series of pyspark, which is a python binding to the spark program written in Scala. The installation is pretty simple. These steps were done on Mac OS Mavericks but should work for Linux too. Here are the steps for the installation: 1. Download the Binaries: Spark : [link] Scala : [link] Dont use Latest Version of Scala, Use Scala 2.10.x 2.

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How Nutanix and VSAN EVO: RAIL differ on management and your designs

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.