Tue.Oct 29, 2019

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Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques

Analytics Vidhya

Do you want to build your own smart city? Picture it – self-driving cars strolling around, traffic lights optimised to maintain a smooth flow, The post Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques appeared first on Analytics Vidhya.

Analytics 254
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Sustainable Behavior Change: Metrics, Measurements and Methods

Corinium

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2 ways to harness the power of SPSS Statistics

IBM Big Data Hub

The Internet and subscription-service businesses have changed how we access everything from news to shopping to music. So, is it any wonder that software has followed suit? In this blog, we’ll look at the differences between an SPSS Statistics Subscription and the traditional on-premises license that was the only way to purchase SPSS Statistics up until 2017.

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Why is Machine Learning Deployment Hard?

KDnuggets

Developing an excellent machine learning model is one thing. Deploying it to production is another. Consider these lessons learned and recommendations for approaching this important challenge to help ensure value from your AI work.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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A Bone-Chilling Tale of Catastrophic Disk-System Failure

CDW Research Hub

Imagine experiencing a catastrophic disk-system failure on your disk-storage appliance backing up your database and primary storage pools. The drive failures cause your server applications to crash, corrupt your database and cause a complete data loss of your storage pools. Sound unlikely? Sound terrifying ? That’s exactly what happened recently to one Sirius client.

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About Google’s Self-Proclaimed Quantum Supremacy and its Impact on Artificial Intelligence

KDnuggets

Google claimed quantum supremacy, IBM challenged it… but the development is really important for the future of AI.

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How to Extend Scikit-learn and Bring Sanity to Your Machine Learning Workflow

KDnuggets

In this post, learn how to extend Scikit-learn code to make your experiments easier to maintain and reproduce.

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The Soft Costs of Bad Financial Reporting in 2020

Jet Global

Financial reporting can be evaluated quantitatively and qualitatively. If you need hard numbers, you can look at how long reports have been overdue or how old the data is. These kinds of metrics show you if your reporting process is inefficient or ineffective and to what extent, but they still don’t tell the full story. For that, you need to look at the reporting process qualitatively as well, adding up the soft costs that are hard to track, but impossible to ignore.

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Girls in Tech & Dataiku: Elevating Women Tech Entrepreneurs

Dataiku

In the past few years, only 17% of startups have been founded by women. At Dataiku, we believe it’s time to change that. This is why, as part of our Ikig.ai initiative, we hosted and sponsored a Girls in Tech event, Amplify Paris 2019 , the world’s largest women’s pitch event exclusively for female-led startups.

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Nutanix at KubeCon: Come Learn about One-Click Kubernetes Operations

Nutanix

Join us at booth S3 to learn how Nutanix is bringing the applications, data, and clouds all together now!

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Machine Learning and Loss Development: From “Top-Down” to “Bottom-Up”

DataRobot

If I was forced to choose one capability of automated machine learning likely to have the biggest impact on commercial insurance, it would be its ability to predict how individual losses will develop over time. This capability, although organizationally based in the actuarial function, immediately impacts reserving and creates the foundation for informed risk selection, underwriting, pricing, and claims handling.

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Forging Strategic Partnerships for our Customers

Teradata

Teradata CEO Oliver Ratzesberger discusses the company's new strategic partnerships with Deutsche Telekom and Google Cloud. Read more!

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3 Steps to an Effective Financial Statement Analysis

FineReport

In general, Financial statement reports can show the enterprise’s financial situation, operating results, and cash flow. However, this is just a vague concept because the original data is unable to speak, and you cannot know the conclusion just from financial data. To let the data speak and reflect the enterprise’s financial situation and problems, you need to do an effective financial statement analysis and display financial statement reports in the right form and method.

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Reports Before (So Embarrassing) and After (So Exciting) Taking Great Graphs by Ann K. Emery

Depict Data Studio

Today’s guest post comes from Christine Leonard, a research and evaluation consultant located in Edmonton, Alberta. Christine is a graduate of Depict Data Studio’s online training program. Keep up the great work, Christine! –Ann. I do a lot of evaluation work as a consultant, but it’s usually more evaluation training, preparation, and capacity building than it is evaluation report writing.

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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.