@TimVlamis
Joined September 2013
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  • Following26
  • Followers144
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I wrote a blog on Lessons Learned from Entering and Winning the ODTUG/AnDOUC Oracle Analytics Data Story Telling Challenge tinyurl.com/2p8v7tby
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Check out my latest article: Understanding Natural Growth: Why We Should Be Using the Logistic Function to Model Covid-19 linkedin.com/pulse/understan… via @LinkedIn

Understanding Natural Growth: Why We Should Be Using the Logistic Function to Model Covid-19

Very few things in living systems grow in straight lines. They tend to follow growth patterns that accelerate and then decelerate.

linkedin.com
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The best data for predictive analytics is often the data you've always had. Here's how researchers found the best geological predictors for drilling exploratory wells were in...wait for it...historical drilling data sets. tinyurl.com/y3zb8kqf #AI #analytics #ML #datamining
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Great article on #Oracle #MachineLearning from #ZDNET zdnet.com/article/oracles-ma… As an active user/instructor/advocate for #OracleDataMining, #OracleREnterprise and #OracleAdvancedAnalytics for 10 years, I concur that Oracle needs to talk up their AI/ML chops. Don't move the data!
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90% of Corporate Finance teams do not have the necessary skills to support digital transformation according to a study from the Association of International Certified Public Accountants and #Oracle. tinyurl.com/y99y8nb4 Fewer than 11% have embraced AI. #OracleAnalytics
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Great article titled The privacy risks of compiling mobility data techxplore.com/news/2018-12-…. Brings to mind the importance of developing frameworks for social responsibility in Big Data analytics. #RawlsianBigData #OracleAdvancedAnalytics #OracleDataScience #OAA #MachineLearning

The privacy risks of compiling mobility data

A new study by MIT researchers finds that the growing practice of compiling massive, anonymized datasets about people's movement patterns is a double-edged sword: While it can provide deep insights...

techxplore.com
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See slide 34 for a list frameworks we use to guide our machine learning and predictive analytics work for clients. vlamiscdn.com/papers2018/Fut… Math and data are important, but so is #socialresponsibility #BigBrother
Great article that points out it’s often better to use less data than you have. #MachineLearning #OracleAdvancedAnalytics #OAA The surprising power of small data—more information isn't necessarily better in health care or business phys.org/news/2018-11-power-…

The surprising power of small data—more information isn't necessarily better in health care or...

Chronic conditions like heart disease and diabetes have been on the rise for decades. They're the number one cause of death and disability in the U.S. today and one reason why health care costs are...

phys.org
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#traegerroyal
Tim Vlamis retweeted
KDnuggets
@kdnuggets13 Dec 2017
#DataScience, #MachineLearning: Main Developments in #2017, Key Trends in #2018 - by top experts @KirkDBorne @tdav @jilldyche @bobehayes @data_nerd @kdnuggets @gp_pulipaka @idigdata and more buff.ly/2nZr5bW
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Scale is extremely important in all analytics. This article helps us think through the relative scale of millions, billions, and trillions thrown around the in the financial press. phy.so/430127070 via @physorg_com

Millions, billions, trillions—how to make sense of numbers in the news

National discussions of crucial importance to ordinary citizens – such as funding for scientific and medical research, bailouts of financial institutions and the current Republican tax proposals –...

phys.org
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See Autonomous Data Warehouse!! Amazing! Introducing Oracle Autonomous Data Warehouse Cloud youtu.be/tZMZODoi2xw via @YouTube
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Great start to Oracle OpenWorld! #OOW17 Machine learning and Advanced Analytics is everywhere #OAA. – at San Francisco, CA
Great analytics, data mining, & machine learning sessions at Oracle OpenWorld this year #OOW17. goo.gl/Lq6B4X Come see Dan and me!
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Don't forget about the basics!! 🤖🤖🤖 Descriptive Statistics Key Terms, Explained kdnuggets.com/2017/05/descri…

Descriptive Statistics Key Terms, Explained - KDnuggets

This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.

kdnuggets.com
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BI needs context. Time & location give ultimate context for mobile queries. Oracle's Day-by-Day app automates context. #OAC #hugelyimportant – at Parkville, MO
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Hugely important. Situational BI at Enterprise scale from Oracle. Day by Day will change the world of Enterprise Business Intelligence. xitter.cf/jvigeant/status/866690…
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Excited to be here at #GLOCcle and seeing friends. Looking forward to forecasting session tomorrow. – at Cleveland, OH
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Tim Vlamis retweeted
Biju Thomas@bijoosX18 May 2017
#gloc17 #gloccle @oracleace dinner @AnujMo @TimVlamis @arupnanda @rgravens @OTNArchBeat @mbobak @ricky_martin @mjgangler
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This article explains why robustness of models and accuracy of models are often mutually exclusive (expect mathematics!) Trade offs... xitter.cf/TimVlamis/status/86163…
Tim Vlamis@TimVlamis8 May 2017
phy.so/413431868 via @physorg_com
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