Thu.Aug 01, 2019

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Predicting Churn: How Data Can Help with Customer Retention

DataRobot

Customer retention is a big concern for companies. The cost of acquisition is typically 5 to 25 times more expensive than the cost of retaining a customer. However, you don’t want to put all of your customers through retention programs. You may end up driving customers away who don’t want to be bothered. On the other hand, some customers may want to leave regardless of what you offer them.

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Make data science more useful

O'Reilly on Data

The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business. In this episode of the Data Show , I speak with Cassie Kozyrkov , technical director and chief decision scientist at Google Cloud. She describes "decision intelligence" as an interdisciplinary field concerned with all aspects of decision-making, and which combines data science with the behavioral sciences.

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7 Innovative Machine Learning GitHub Projects you Should Try Out in Python

Analytics Vidhya

Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.

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How a simple mix of object-oriented programming can sharpen your deep learning prototype

KDnuggets

By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

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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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Cloud Pak for Data on Red Hat OpenShift: The best of both worlds

IBM Big Data Hub

IBM’s integrated platform for Data & AI, which is 100% complimentary to Red Hat offerings. It runs on OpenShift today and has a hardware version called Cloud Pak for Data System. The beauty of Cloud Pak for Data is that it includes all of IBM’s strategic Data and AI services – including Watson – as one integrated offering. This allows customers to consume what they need in a cloud-native fashion on the infrastructure of their choice (on-prem, IBM Cloud, AWS, Azure and more) and build persona

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A 2019 Guide to Object Detection

KDnuggets

Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.

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Easily Deploy Deep Learning Models in Production

KDnuggets

Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges.

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The Top 8 Benefits of Data Lineage

erwin

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Opening Black Boxes: How to leverage Explainable Machine Learning

KDnuggets

A machine learning model that predicts some outcome provides value. One that explains why it made the prediction creates even more value for your stakeholders. Learn how Interpretable and Explainable ML technologies can help while developing your model.

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UX is everybody’s business

CONTACT Software

Professionally and privately computer work and the use of apps and other digital tools have become everyday occurrences. UX ensures the easiest possible operation and focuses on the user experience. This means that digital products are intuitive, reliable and, at best, fun. Why is a UX strategy important? The goal of UX is to make … Continue reading "UX is everybody’s business".

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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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Data Architecture Crash Course: Key Terms

Dataiku

Not sure what Hadoop actually is? A little fuzzy on what the difference is between cloud and on-prem storage? We’ve set out to demystify the jargon surrounding data architecture to enable every team to understand how it impacts their objectives.

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Nutanix and HPE Deliver Integrated Hyperconverged Infrastructure Appliance

Nutanix

Today, we proudly take the next step in this journey with the general availability of the HPE ProLiant DX Gen10, a range of Nutanix-integrated HPE appliances based on the most secure industry standard servers.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to July 28)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Alan Duncan’s new note goes straight to the top of the charts this week that explores how a CDO can get buy-in from key stakeholders.

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7 Things.NEXT Does Differently

Nutanix

On top of linking you up with thousands of brilliant, network-worthy peers, delivering world-class speeches from world-class brainiacs, and setting you up for datacenter success both now and for the future,NEXT sets itself apart from the pack in myriad ways.

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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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Nutanix and HPE Deliver Integrated Hyperconverged Infrastructure Appliance

Nutanix

Today, we proudly take the next step in this journey with the general availability of the HPE ProLiant DX Gen10, a range of Nutanix-integrated HPE appliances based on the most secure industry standard servers.

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7 Things.NEXT Does Differently

Nutanix

On top of linking you up with thousands of brilliant, network-worthy peers, delivering world-class speeches from world-class brainiacs, and setting you up for datacenter success both now and for the future,NEXT sets itself apart from the pack in myriad ways.

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IT Under Pressure

Nutanix

Outages, 6-year-old hardware, week-long migrations, vendors breathing down your neck. When your datacenter is going haywire, what do you do to alleviate that pressure?

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