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DTSTART:20190101T000000
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DTSTART;TZID="Asia/Kolkata":20191118T080000
DTEND;TZID="Asia/Kolkata":20191122T170000
DTSTAMP:20190922T184959
CREATED:20190827T034223Z
LAST-MODIFIED:20190827T103549Z
UID:40724-1574064000-1574442000@www.icrisat.org
SUMMARY:International Workshop on Genomic Selection in Plant Breeding through Advanced R & Machine Learning
DESCRIPTION: \nDownload the flyer \nAbout The Course \nBioNcube\, a DBT BioNEST Ag-biotech Incubator and the Statis-tics\, Bioinformatics and Data Management (SBDM) Theme (http://data.icrisat.org/) at ICRISAT (https://www.icrisat.org/) in collaboration with Professor Osval A Montesinos-López from Uni-versity of Colima\, Mexico (https://www.ucol.mx) is organizing a training workshop on Advanced R & Application of Machine 3rd International Workshop on Genomic Selection in Plant Breeding through Advanced R & Machine Learning The course will be mainly divided into four modules. \nFirst module will given general introduction on Genomic Selec-tion in plant breeding\, development of models and application. Various genomic selection models commonly used and basics of mixed model analysis and genomic selection using Bayesian ap-proaches will be discussed. This module will introduce analyzing genomic selection using R. Illustrative examples of various GS models will be discussed with participants. \nSecond module will focus on basics of R. This module will intro-duce R to participants and will include installation\, introduction to RStudio\, basic data management with R\, package installation\, basic programming and use of R Graphics. After covering basic graphics we will also cover advanced graphics by introducing ggplot2 package. \nThird module will focus on general machine learning\, concepts\, algorithms\, application in genomic selection\, overfitting problem and metrics for the evaluation of prediction performance. Partici-pants will learn logistic regression and penalized logistic regres-sion—with theory and illustrative examples. Concept of multino-mial regression will also be discussed. \nFourth module will be focused on artificial neural networks and deep learning for continuous outcomes. Participants will learn defining different artificial neural networks topologies\, activation functions\, loss functions\, early-stopping method of training\, the backpropagation algorithm and examples in keras for binary\, ordinal\, and continues outcomes and some successful applica-tions of artificial neural networks and deep learnings. \nmodule will be focused on artificial neural networks and deep learning for continuous outcomes. Participants will learn defining different artificial neural networks topologies\, activation functions\, loss functions\, early-stopping method of training\, the backpropagation algorithm and examples in keras for binary\, ordinal\, and continues outcomes and some successful applica-tions of artificial neural networks and deep learnings. \nCourse Content \nModule 1: Genomic Selection & Linear Mixed Models \n\nBasics of Genomic Selection (GS)\nElements of mixed models for GS\nDifferent GS Model\nIllustrative examples\n\nModule 2: Introduction to R \n\nIntroduction to R & RStudio\nR Packages\nR for Data Manipulations\nR Graphics & ggplot2\n\nModule 3: Elements of Machine Learning – I \n\nLogistic regression\nPenalized logistic regression\nMultinomial regression\nOverfitting problem\n\nModule 4: Elements of Machine Learning – II \n\nArtificial neural networks vs Deep learning\nArtificial neural network topologies\nDeep learning for continuous outcomes\nLoss functions\nEarly-Stopping Method of Training\nThe backpropagation algorithm\nExample in Keras for univariate and multivariate outcomes\n\nHow to Apply \nTo apply\, please complete following google form with details: https://forms.gle/4j7yBjYxGLCWQWez6 \nRegistration Fee: USD 450 / INR 30\,000 \nLast Date of Application: 20th September 2019 \n\nSelected candidate will be contacted with registration details\nCourse fee includes lunch & coffee breaks for 5 days\nAccommodation available in ICRISAT on request\nBioNEST incubatee / startups will be given 50% discount on course fee\n\nLogistics & Accommodation\nMs. Laxmi Sarika\nICRISAT Patancheru\, Hyderabad\nTelangana\, India—502 324\nemail: L.Sarika@cgiar.org\nOffice Landline: +91 40 3071 3365\nMobile: +91-9703028538 \n
URL:https://www.icrisat.org/event/international-workshop-on-genomic-selection-in-plant-breeding-through-advanced-r-machine-learning/
LOCATION:ICRISAT\, Patancheru\, Hyderabad\, Telangana\, 502324\, India
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