ONLINE COURSE – Introduction to Machine Learning and Deep Learning using R (IMDL03) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl03/
Please feel free to share!
COURSE DETAILS
In this two day course, we provide an introduction to machine learning and deep learning using R. We begin by providing an overview of the machine learning and deep learning landscape, and then turn to some major machine learning applications. We begin with binary and multiclass classification problems, then look at decision trees and random forests, then look at unsupervised learning methods, all of which are major topics in machine learning. We then cover artificial neural networks and deep learning. For this, we will use the powerful TensorFlow and Keras deep learning toolboxes. As examples of deep learning nets, we will cover the relatively easy to understand multilayer perceptron and then turn to convolutional neural networks.
Email [log in to unmask]
Up-coming and pre recorded courses
Wednesday, June 1st 2022
ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR06) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr06/
Wednesday, June 15th, 2022
ONLINE COURSE – Model Selection and Model Simplification Using R And Rstudio (IMMR06) This course will be delivered live
https://www.prstatistics.com/course/model-selection-and-model-simplification-msms03/
Wednesday, June 29th, 2022
ONLINE COURSE – Introduction to Machine Learning and Deep Learning using R (IMDL03) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl03/
Remember* we have over 30 courses archived and available on demand on our recorded courses page https://www.prstatistics.com/recorded-courses/
Moving our courses online due to the COVID pandemic has allowed us to archive all our previous courses and offer them in a recorded format.
This is ideal for;
People with busy schedules who can’t take long periods off work to attend workshops.
Allows attendees to work at their own pace with email support.
Suitable for people from all timezones.
The recordings are taken from our Live Online Courses which ensures all materials and software packages are constantly up-to-date.
‘General’ Courses
FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01R)
https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01r/
Introduction To Statistics Using R And Rstudio (IRRS03R)
https://www.prstatistics.com/course/introduction-to-statistics-using-r-and-rstudio-irrs03r/
Introduction To Generalised Linear Models Using R And Rstudio (IGLM04R)
https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm04r/
Introduction To Mixed Models Using R And Rstudio (IMMR05R)
https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr05r/
Nonlinear Regression Using Generalized Additive Models (GAMR01R)
https://www.prstatistics.com/course/nonlinear-regression-using-generalized-additive-models-gamr01r/
Hidden Markov and State Space Models Using R (HMSS01R)
Coming soon
Introduction To Machine Learning And Deep Learning Using R (IMDL02R)
https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl02r/
Model Selection And Model Simplification (MSMS02R)
https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02r/
Reproducible Data Science Using RMarkdown, Git, R Packages, Docker, Make & Drake And Other Tools (RDRP01R)
https://www.prstatistics.com/course/reproducible-data-science-using-rmarkdown-git-r-packages-docker-make-drake-and-other-tools-rdrp01r/
Data Wrangling Using R And Rstudio (DWRS02R)
https://www.prstatistics.com/course/data-wrangling-using-r-and-rstudio-dwrs02r/
Data visualization using GG plot 2 (R and Rstudio) (DVGG02R)
https://www.prstatistics.com/course/data-visualization-using-gg-plot-2-r-and-rstudio-dvgg02r/
Introduction To Data Wrangling And Data Visualization Using R (DWDV01R)
https://www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01r/
Bayesian
Fundamentals of Bayesian Data Analysis using R (FBDA01R)
https://www.prstatistics.com/course/introduction-fundamentals-of-bayesian-data-analysis-statistics-using-r-fbda01r/
Bayesian Approaches To Regression And Mixed Effects Models Using R And brms (BARM01R)
https://www.prstatistics.com/course/bayesian-approaches-to-regression-and-mixed-effects-models-using-r-and-brms-barm01r/
Bayesian Hierarchical Modelling Using R (IBHM05R)
https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05r/
Bayesian Data Analysis (BADA01R)
https://www.prstatistics.com/course/bayesian-data-analysis-bada01r/
Introduction To Stan For Bayesian Data Analysis (ISBD01R)
https://www.prstatistics.com/course/introduction-to-stan-for-bayesian-data-analysis-isbd01r/
Python
Introduction to Python and Programming in Python (PYIN03R)
https://www.prstatistics.com/course/introduction-to-python-and-programming-in-python-pyin03r/
Introduction To Scientific, Numerical And Data Analysis Programming In Python (PYSC02R)
https://www.prstatistics.com/course/introduction-to-scientific-numerical-and-data-analysis-programming-in-python-pysc02r/
Machine Learning and Deep Learning Using Python (PYML02R)
https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml02r/
Python For Data Science, Machine Learning And Scientific Computing (PDMS02R)
https://www.prstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms02r/
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