Sun.Sep 15, 2019

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9 Powerful Tips and Tricks for Working with Image Data using skimage in Python

Analytics Vidhya

Overview New to working with image data? The skimage module in Python is an ideal starting point Learn 8 simple yet powerful tricks for. The post 9 Powerful Tips and Tricks for Working with Image Data using skimage in Python appeared first on Analytics Vidhya.

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The Biggest Challenges for a Chief Customer Officer

Corinium

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Big Data Paves The Road For A New Generation Of Investing Apps

Smart Data Collective

Big data is changing the financial industry in a truly astounding way. Countless financial professionals are looking towards machine learning and other new tools to improve the quality of the services that they offer to their customers. K. Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals.

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The Biggest Challenges for a Chief Customer Officer (Volt Bank)

Corinium

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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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How Up-And-Coming Music Companies Use Big Data For Optimal Results

Smart Data Collective

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Darren Heitner wrote a great article on Inc. About the way that big data is revolutionizing the industry.

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Can Business Users Leverage Self-Serve Data Prep?

Smarten

How About Giving Your Business Users the Power to Prepare Data for Analysis? Can Your Business Achieve Self-Serve Data Prep? Lots of my friends talk about the difficulty of preparing data for analysis and how long it takes to get IT or data scientists or analysts to take on the project, get the data prepared and run reports or perform analytics. Frankly, this problem is a puzzle to me!

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Answering Complex Usage Questions with Product Analytics

Sisense

Blog. Measuring engagement with a business product is difficult. Users often spend hours per day in a business tool where complex workflows make interpreting user intent through clickstreams difficult – and worse, typical engagement metrics like time-on-site, page loads or object creation counts generally just describe usage, not created value.

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How to Multitask within Teradata Vantage Optimizer

Teradata

Want scale? Without multitasking capabilities, Teradata Vantage would not be able to support hundreds or thousands of user queries at the same time. Learn more.