Wed.Nov 06, 2019

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An Eight-Step Checklist for An Analytics Project

KDnuggets

Follow these eight headings of an audit sheet that business analysts should address before submitting the results of their analytics project. One recommended approach is to rewrite each step as a question, answer it, and then attach it to your project.

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4 Proven Tricks to Improve your Deep Learning Model’s Performance

Analytics Vidhya

Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya.

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Metadata Management, Data Governance and Automation

erwin

Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. This research showed that the majority of responding organizations weren’t actually prepared for GDPR, nor did they have the understanding, executive support and budget for data governance – although they recognized the importance of it.

Metadata 102
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The 5 Classification Evaluation metrics every Data Scientist must know

MLWhiz

What do we want to optimize for? Most of the businesses fail to answer this simple question. Every business problem is a little different, and it should be optimized differently. We all have created classification models. A lot of time we try to increase evaluate our models on accuracy. But do we really want accuracy as a metric of our model performance?

Metrics 86
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What Type Of Data Storage Do Smart Cities Need?

Smart Data Collective

Smart cities are gaining popularity across the world thanks to the convenience and efficiency they bring to citizens, visitors, and government leadership. Smart city technology can use data to revolutionize what it means to live and work in a city. First, however, we need the right kind of storage solutions to make all these proposed features functional.

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The Last Defense Against Another AI Winter

KDnuggets

My short answer is this: Yes, another AI Winter will be here if you don’t deploy more ML solutions. You and your Data Science teams are the last line of defense against the AI Winter. You need to solve five key challenges to keep the momentum up.

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Research Guide: Advanced Loss Functions for Machine Learning Models

KDnuggets

This guide explores research centered on a variety of advanced loss functions for machine learning models.

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Next Level Power BI – SVG Databars

Paul Turley

Power BI table and matrix visuals can render SVG object elements in a column or measure to display in-line web content. You can build dynamic content like KPI indicators, databars and sparklines by altering SVG element content using DAX expressions. In this post, I will show you how to create databars that show negative and positive values with different color fills based on category values.

KPI 57
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KDnuggetsâ„¢ News 19:n42, Nov 6: 5 Statistical Traps Data Scientists Should Avoid; 10 Free Must-Read Books on AI

KDnuggets

Learn about statistical fallacies Data Scientists should avoid; New and quite amazing Deep Learning capabilities FB has been quietly open-sourcing; Top Machine Learning tools for Developers; How to build a Neural Network from scratch and more.

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7 Ways Big Data Is Pushing CBD Marketing Into The 21st Century

Smart Data Collective

Big data and cannabis are two seemingly different concepts. However, the two industries tie in very well with each other. CBD companies are relying more on big data than ever before. In June, Nicole Martin wrote a very detailed article for Forbes on the role of big data in operations management for the cannabis industry. “Data helps to drive every industry now.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Meet Neebo: The Virtual Analytics Hub

KDnuggets

Neebo is a SaaS solution that enables analytics teams to connect to, find, combine and collaborate on trusted data assets in hybrid cloud landscapes, and provides a unified access point where they can more effectively leverage all their analytics assets and knowledge. In this blog, we will highlight some of the features of Neebo and how they can completely transform the way analytics teams operate.

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The New Improved and Open GraphDB

Ontotext

The release of a new full version always comes with an exciting list of new functionalities. Version 9.0 of Ontotext’s GraphDB has lots of new bells and whistles that will ensure that it remains the market leader for semantic databases. This new version sees the release of essential plug-ins: data virtualization, a sophisticated ranking of semantic search results, new types of indexing and advanced graph analytics.

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Top KDnuggets tweets, Oct 30 – Nov 05: Everything a Data Scientist Should Know About Data Management

KDnuggets

Which Data Science Skills are core and which are hot/emerging ones?; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral DataViz; Microsoft open sources #SandDance, a visual data exploration tool.

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Business Intelligence & Analytics Examples, Insights, and Dashboards

ScienceSoft

Explore business intelligence & analytics examples for the retail, healthcare, and real estate development industries. Grab the best ideas and be among the companies whose BI initiative brings an above-the-average ROI.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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PASS Summit 2019 – Day 1 Keynote

Tim Mitchell

Today is the first full day of the PASS Summit, and this morning we kicked things off with a 2-hour opening ceremony and keynote. Networking and Growth PASS president Grant Fritchey starts things off appropriately by focusing on networking and career growth. We say it every year, but it bears repeating: the most important thing you’ll get out of being.

IT 40
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Our Top 20 Most-Read Data and Analytics Research Last Week (to Nov 3)

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. Carlie Idoine recently published note on maximizing value of data science efforts entered the charts two weeks at number 9 and this week ran up the chart to top spot!

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Is It Live or Is It Flape?

CDW Research Hub

How are you storing your data? How much of it do you need to access at a moment’s notice? And what is it costing you to store it? If questions like these leave you shrugging your shoulders, you’re not alone. Considering all the storage options available today—cloud, hard disk drives, flash and tape—it can be difficult to determine the most reliable, cost-effective option for your production data.

IT 40
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Nutanix Hyperconverged Infrastructure Platform Optimized to run Epic Operational Database and Cogito Databases

Nutanix

Nutanix is currently the #1 deployed HCI solution within the Epic community, with over 20 mutual customers ranging from small hospitals to those with more than 20,000 concurrent users.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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What are Different Kinds of Data Visualization?

FineReport

What is Data Visualization? Data visualization provides clear, fast and effective communication according to graphical means. From the user’s point of view, data visualization allows users to quickly grasp the key points of information, which can help them make better and wiser decisions. A good data visualization generally has the following characteristics: Accuracy.

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Digital Transformation and Augmented Analytics Go Hand in Hand!

Smarten

How Can My Business Begin Digital Transformation? How About Augmented Analytics? If you read industry and technology journals, you have probably seen the term, ‘digital transformation’. So, what is digital transformation Gartner asked, and here is what the Gartner glossary of terms says about that: ‘Digital business transformation is the process of exploiting digital technologies and supporting capabilities to create a robust new digital business model.