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X-WR-CALNAME:Office of Advanced Research Computing
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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TZNAME:EDT
DTSTART:20210314T070000
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DTSTART:20211107T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210903T140000
DTEND;TZID=America/New_York:20210903T170000
DTSTAMP:20260408T035740
CREATED:20210609T160004Z
LAST-MODIFIED:20210609T165217Z
UID:5057-1630677600-1630688400@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit-Learn
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nAmarel account: Apply here as soon as possible. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN  to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. \nWorkshop content: In this three hour workshop\, we will go through the basics of unsupervised and supervised methods\, discuss some of the popular models such as Support Vector Machines\, Decision Trees\, and Random Forest\, and show how these models work for classification and regression problems. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.\n\nRegister to attend the workshop:\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-machine-learning-with-python-and-scikit-learn-9-3-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210917T140000
DTEND;TZID=America/New_York:20210917T170000
DTSTAMP:20260408T035740
CREATED:20210609T161701Z
LAST-MODIFIED:20210609T165243Z
UID:5063-1631887200-1631898000@oarc.rutgers.edu
SUMMARY:Deep Learning with Python and Keras
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nAmarel account: Apply here as soon as possible. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN  to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. \nWorkshop content: This three hour workshop focuses on learning the basics of Deep Learning with Python and Keras including data preparation\, artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, and Recurrent Neural Networks (RNN).  \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.Register to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-deep-learning-with-python-and-keras-9-17-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210921T080000
DTEND;TZID=America/New_York:20210922T190000
DTSTAMP:20260408T035740
CREATED:20210330T162337Z
LAST-MODIFIED:20210330T162344Z
UID:4658-1632211200-1632337200@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Anticipated monthly maintenance schedule March 2021 - January 2022: \nMAR 19-20-21 (3/20 & 3/21 Hill Data Center maintenance\, which will affect Amarel users)\nAPR 20-21\nMAY 18-19\nJUN 15-16\nJUL 20-21\nAUG 17-18\nSEP 21-22\nOCT 19-20\nNOV 16-17\nDEC 21-22\nJAN 18-19 \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-9-21-21/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210928T130000
DTEND;TZID=America/New_York:20210928T160000
DTSTAMP:20260408T035740
CREATED:20210813T203720Z
LAST-MODIFIED:20210921T150237Z
UID:5451-1632834000-1632844800@oarc.rutgers.edu
SUMMARY:Machine Learning Series by OARC—Random Forest Workshop
DESCRIPTION:Please register to attend this workshop at the bottom of this page. After filling out the registration form\, we will email you the Zoom link. \nAmarel account: You need an Amarel account to participate in the lab section Apply here as soon as possible. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources. \nIf you have questions or need help\, please contact Janet Chang. \nTopics:\n1. Introduction to Machine Learning (ML) \n\nBig data and Machine Learning\nRelate Machine Learning to other disciplines\nMachine Learning algorithms\nClassification and Regression\n\n2. Understanding Random Forest (RF) \n\nApplications of Random Forests\nWhy Random Forests\nThe Random Forest Algorithm\nFundamental concepts – ML\, RF\n\n3. Implementing Random Forest \n\nFeature Importance and Feature Selection\nDealing with missing data\, and imbalanced data\nBest split of the node–node impurity\n\n\nOver-fitting and underfitting\nThe model performance\nThe model interpretability\n\n4. Lab Exercise \nWe will use cancer health data combined with gene expression data to build random forest models\, predicting output variables. Both classifier and regressor will be addressed. \nLab 1\, Set up\, and launch R \nLab 2\, Data preparation \n\n2a. pre-processing\,\n2b. data partition\,\n2c. missing data imputation\,\n2d. feature selection\n\nLab 3\, Building the RF model: \n\n3b. handling imbalanced data\n3c. building the RF model\n3d. turning the parameters\n\nLab 4\, Validation and model performance \n\n4a. prediction and Confusion Matrix — test data\n4b. ROC curve and AUC\n4c. k-fold cross-validation\n4d. parallel computing\n\nLab 5\, Visualization and the model interpretation \n\n5a. plotting the random forest tree\n5b. plotting feature importance\n5c. partial dependence plot (PDP)\n5d. MDS – multi-dimensional scaling plot of proximity matrix\n\n \nTo Register: \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/machine-learning-series-by-oarc-random-forest-workshop-9-28-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210929T130000
DTEND;TZID=America/New_York:20210929T150000
DTSTAMP:20260408T035740
CREATED:20210908T182528Z
LAST-MODIFIED:20210913T171118Z
UID:5611-1632920400-1632927600@oarc.rutgers.edu
SUMMARY:Clinical informatics – introduction
DESCRIPTION:Workshop 1: Clinical informatics\, data science in biomedicine and Advanced computing seriesBranimir Ljubic presents the first workshop: “Clinical informatics – introduction” within the series of workshops: “Clinical informatics\, Data science in medicine\, Advanced computing.” These workshops will provide theoretical insights and practical advice needed for understanding and successful work in the field of Clinical informatics and Data science in medicine. The first workshop will cover the introduction to Clinical informatics\, significance\, modern applications\, etc. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Branimir Ljubic.Register to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/clinical-informatics-9-29-21/
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