Sat.Dec 23, 2017 - Fri.Dec 29, 2017

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What’s the Worst Thing You’ve Heard About Being a Woman in Recruitment?

IBM Big Data Hub

Sexism in the workplace continues to be relevant, as much as we all don’t want it to be. And sexism isn’t one sided either, there are stigmas that follow females and males around that continue to be all too commonplace. So we ask our diverse panel of female recruiters to point out the most annoying thing they. View Article. What’s the Worst Thing You’ve Heard About Being a Woman in Recruitment?

IT 86
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Hyperopt - A bayesian Parameter Tuning Framework

MLWhiz

Recently I was working on a in-class competition from the “How to win a data science competition” Coursera course. You can start for free with the 7-day Free Trial. Learned a lot of new things from that about using XGBoost for time series prediction tasks. The one thing that I tried out in this competition was the Hyperopt package - A bayesian Parameter Tuning Framework.

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Introducing www.Stephen-Few.com

Perceptual Edge

I’ve ended my public Visual Business Intelligence Workshops and quarterly Visual Business Intelligence Newsletter , in part, to make time for other ventures. You have perhaps noticed that here, in my Perceptual Edge blog articles, I sometimes veer from data visualization to reflect my broader interests. In this blog, I’ve usually tried to my keep topics at least tangentially related to data sensemaking, but I now find this too confining.

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Big data visualization: Why companies can’t do without it

ScienceSoft

To prove the value of big data visualization, our team sums up the findings of recent dedicated surveys and shares possible use cases.

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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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5 blog posts to keep your data on track in 2018

IBM Big Data Hub

There are many right ways companies are using data: to know their customers better and to keep up with their needs and expectations to drive loyalty without sacrificing privacy. Here are some recommended reads that will help you learn how to stay on your customers’ good side while still gaining the insights you need to stay competitive.

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Using XGBoost for time series prediction tasks

MLWhiz

Recently Kaggle master Kazanova along with some of his friends released a “How to win a data science competition” Coursera course. You can start for free with the 7-day Free Trial. The Course involved a final project which itself was a time series prediction problem. Here I will describe how I got a top 10 position as of writing this article.

Sales 45
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Recapping the Data Governance Winter Conference and looking ahead to 2018 governance trends

IBM Big Data Hub

The 2017 Data Governance Winter Conference on 4 - 8 December covered topics ranging from how to start a data governance program to attaining data governance maturity to how to improve your organization’s information quality. After attending, Brian Mayer, business ready data practitioner, and Mark Lynch unified governance practice lead, discuss major data governance trends covered at the conference.