KDnuggets
NOVEMBER 6, 2019
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.
Analytics Vidhya
NOVEMBER 6, 2019
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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erwin
NOVEMBER 6, 2019
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.
MLWhiz
NOVEMBER 6, 2019
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?
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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.
Smart Data Collective
NOVEMBER 6, 2019
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.
KDnuggets
NOVEMBER 6, 2019
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
NOVEMBER 6, 2019
This guide explores research centered on a variety of advanced loss functions for machine learning models.
Paul Turley
NOVEMBER 6, 2019
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.
KDnuggets
NOVEMBER 6, 2019
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.
Smart Data Collective
NOVEMBER 6, 2019
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.
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.
KDnuggets
NOVEMBER 6, 2019
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.
Ontotext
NOVEMBER 6, 2019
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.
KDnuggets
NOVEMBER 6, 2019
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.
ScienceSoft
NOVEMBER 6, 2019
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.
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.
Tim Mitchell
NOVEMBER 6, 2019
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.
Andrew White
NOVEMBER 6, 2019
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!
CDW Research Hub
NOVEMBER 6, 2019
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.
Nutanix
NOVEMBER 6, 2019
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.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
FineReport
NOVEMBER 6, 2019
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.
Smarten
NOVEMBER 6, 2019
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.
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