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…mage-links 149 small fixes to webinar image links
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title: "Escape the Data Dungeon: Unlock Scalable R Analytics and ML" | ||
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{{< video https://www.youtube.com/watch?v=CNl3BmJiW7c >}} | ||
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## Summary: | ||
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Tired of sluggish R data processing and limited Machine Learning (ML) options with large databases? | ||
Imagine swiftly predicting customer churn and deploying solutions with ease. Watch our in-depth Oracle | ||
Machine Learning for R (OML4R) webinar to learn more! | ||
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Key topics included: | ||
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- Seamless In-Database Access: Jump straight into your data without the drag of extractions. | ||
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- Scalable High-Performance Data Processing: Handle huge datasets effortlessly. | ||
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- Integrated In-Database ML: Develop and deploy potent models right within your database. | ||
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- Effortless Production Deployment: Streamline your R scripts from development to production. | ||
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Found out more about OML4R through practical examples in product bundling, demand forecasting, and | ||
customer churn prediction. Escape the data grind and transformed your R experience. | ||
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## Speaker | ||
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![](images/MarkHornick.jpg){width=40%} | ||
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> #### Mark Hornick, Senior Director, Oracle Machine Learning | ||
> | ||
> Mark Hornick is senior director of product management for Oracle Machine Learning. Mark has | ||
more than 20 years of experience integrating and leveraging machine learning with Oracle software | ||
as well as working with internal and external customers to apply Oracle’s machine learning technologies. | ||
He has been involved with R technology for the past 15 years. Mark is Oracle’s representative to the | ||
R Consortium and is an Oracle Adviser of the Analytics and Data Oracle User Community. He has been | ||
issued seven US patents. Mark holds a bachelor’s degree from Rutgers University and a master’s degree | ||
from Brown University, both in computer science. Follow him on Twitter \@MarkHornick and connect on LinkedIn. | ||
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![](images/SherryLaMonica.png){width=40%} | ||
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> #### Sherry LaMonica, Consulting MTS, Oracle Machine Learning | ||
> | ||
> Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software | ||
experience focused on enabling the commercial use of the open-source data analysis software systems with R | ||
and Python for data science and machine learning projects. She has worked with customers in fields as | ||
diverse as pharmaceutical research, financial analysis, manufacturing, and healthcare IT. | ||
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## The R Adoption Series | ||
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This is a series of webinars focused on the adoption of R. Each session will include a case study | ||
and often include panels or discussions to enable those starting their journey to ask questions. | ||
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R Consortium will [keep this page updated](webinars.html) with information on future webinars in the R Adoption series. | ||
If there is some information that you are looking for specifically and you don’t see it here, feel | ||
free to email us at info\@r-consortium.org. |
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webinars/from-vision-to-action-the-pfizer-r-center-of-excellence.qmd
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title: "From Vision to Action: The R Pfizer R Center of Excellence-led Journey to R Adoption" | ||
format: html | ||
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{{< video https://www.youtube.com/watch?v=_f-JyLDcPXE&t=6s >}} | ||
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## Summary | ||
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The webinar by the R consortium titled “From Vision to Action: The R Pfizer R Center of Excellence-led | ||
Journey to R Adoption” was not just a case study of Pfizer’s journey. It was a platform for sharing | ||
valuable insights and strategies applicable across industries and experience levels. Viewers can learn | ||
about the importance of an engaged R community and practical approaches to building and maintaining | ||
such a community within their organizations. | ||
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## Speaker | ||
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![](images/Andriychuk_Natalia_ProfilePic.jpg){width=40%} | ||
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> Natalia Andriychuk is a Statistical Data Scientist in the R Center of Excellence SWAT | ||
(Scientific Workflows and Analytic Tools) team at Pfizer. In her current role, Natalia provides | ||
robust technical solutions to business lines across Pfizer utilizing strong technical knowledge of | ||
R, R packages, Shiny, and other associated data science and data analytics tools. She develops | ||
training on R and associated tools for Pfizer colleagues and helps to build an R community at Pfizer. | ||
Natalia is an advocate for the open source development as she passionately believes in the transformative | ||
power collaborative innovation and knowledge sharing. | ||
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## The R Adoption Series | ||
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This is a series of webinars focused on the adoption of R. Each session will include a case study | ||
and often include panels or discussions to enable those starting their journey to ask questions. | ||
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R Consortium will [keep this page updated](webinars.html) with information on future webinars in the R Adoption series. | ||
If there is some information that you are looking for specifically and you don’t see it here, feel | ||
free to email us at info\@r-consortium.org. |
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## The R Adoption Series | ||
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This is a series of webinars focused on the adoption of R. Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. | ||
This is a series of webinars focused on the adoption of R. Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. | ||
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R Consortium will keep this page updated with information on future webinars in the R Adoption series. If there is some information that you are looking for specifically and you don’t see it here, feel free to email us at [email protected]. |
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