ONLINE COURSE – Machine Learning using Python (MLUP01) This course will be delivered live
https://www.prstats.org/course/machine-learning-using-python-mlup01/ February 10th - 14th 2025 Please feel free to share! *ABOUT THIS COURSE.* Machine vision has produced many helpful image-processing techniques in several fields, such as object detection, classification, and segmentation. Machine vision is an interdisciplinary discipline combining computer vision and machine learning methods, mainly deep learning, to solve vision problems. Common problems, such as classification and localisation, are typical examples that combine these research fields. These techniques have applications in many areas. Deep learning methods are commonly applied for image classification, focusing on deep neural networks and Convolutional Neural Networks (CNNs), including concepts of transfer learning applied to image classification. This course introduces basic concepts of deep learning and machine vision applied to image classification using CNNs. To illustrate these methods, a dataset of medically and forensically important flies is used. Other examples will also be used during the course to illustrate the applications of machine vision in ecology. By the end of the course, participants should: - Understand the basic concepts behind the machine vision ecosystem in Python; - Understand the machine vision pipeline workflow; - Understand the application of standard Python packages such as OpenCV and Tensorflow; - Understand the basic concepts behind Deep Neural Networks; - Understand the basic concepts behind Convolutional Deep Neural Networks; - Understand basic concepts behind Transfer learning; - Have the confidence to implement basic Machine vision methods using Python; - Have the confidence to combine basic computer vision and machine learning methods to perform vision tasks; Please email oliverhoo...@prstatistics.com with any questions. *UPCOMING COURSES* ONLINE COURSE – Time Series Analysis and Forecasting using R and Rstudio (TSAF01) This course will be delivered live <https://www.prstats.org/course/time-series-analysis-and-forecasting-using-r-and-rstudio-tsaf01/> ONLINE COURSE – Machine Vision using Python (MVUP01) This course will be delivered live <https://www.prstats.org/course/machine-vision-using-python-mvup01/> ONLINE COURSE – Machine Learning using Python (MLUP01) This course will be delivered live <https://www.prstats.org/course/machine-learning-using-python-mlup01/> ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB06) This course will be delivered live <https://www.prstats.org/course/online-course-species-distribution-modelling-with-bayesian-statistics-using-r-sdmb06/> ONLINE COURSE – Remote sensing data analysis and coding in R for ecology (RSDA01) This course will be delivered live <https://www.prstats.org/course/remote-sensing-data-analysis-and-coding-in-r-for-ecology-rsda01/> ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR07) This course will be delivered live <https://www.prstats.org/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr07/> ONLINE COURSE – Bioacoustics Data Analysis using R (BIAC05) This course will be delivered live <https://www.prstats.org/course/bioacoustics-data-analysis-biac05/> -- Oliver Hooker PhD. PR stats To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
