Workshop: Unsupervised Learning and DL-Based Forecasting

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website: https://learn.xnextcon.com/event/eventdetails/W20042310 video: https://www.youtube.com/watch?v=amTzgvJg-ZE In this workshop, we will focus on learn anomaly detection and forecasting, the two important and practical problems in machine learning. We will start with intro on what are the problems and deep dive into deep learning based solutions, with hands-on exercise. The interactive workshop offer both theoretical and practical modules. By participating in the workshop you would be able to: Learn the core concepts behind anomaly detection and time-seres forecasting Experience building 2 deep learning models with hands-on exercise Evaluate RealityEngines.AI as a solution to your AI challenges

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https://towardsdatascience.com/anomaly-detection-for-
dummies-15f148e559c1
https://www.analyticsvidhya.com/blog/2019/02/outlier-
detection-python-pyod/
https://github.com/yzhao062/pyod/blob/master/notebooks/
Compare%20All%20Models.ipynb
https://towardsdatascience.com/how-to-use-machine-learning-
for-anomaly-detection-and-condition-
monitoring-6742f82900d7
https://github.com/yzhao062/anomaly-detection-resources
https://federation.edu.au/__data/assets/pdf_file/0011/443666/
ICDM2018-Tutorial-Final.pdf
https://ieeexplore.ieee.org/stamp/stamp.jsp?
arnumber=8786096
https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?
article=1640&context=etd_projects
https://arxiv.org/pdf/1903.00904v2.pdf
https://arxiv.org/pdf/1910.03818v2.pdf
https://arxiv.org/pdf/1906.11632.pdf

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Workshop: Unsupervised Learning and DL-Based Forecasting

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9. ● ● ● ● ● ● ● ● ● ● ● https://towardsdatascience.com/anomaly-detection-for- dummies-15f148e559c1 https://www.analyticsvidhya.com/blog/2019/02/outlier- detection-python-pyod/ https://github.com/yzhao062/pyod/blob/master/notebooks/ Compare%20All%20Models.ipynb https://towardsdatascience.com/how-to-use-machine-learning- for-anomaly-detection-and-condition- monitoring-6742f82900d7 https://github.com/yzhao062/anomaly-detection-resources https://federation.edu.au/__data/assets/pdf_file/0011/443666/ ICDM2018-Tutorial-Final.pdf https://ieeexplore.ieee.org/stamp/stamp.jsp? arnumber=8786096 https://scholarworks.sjsu.edu/cgi/viewcontent.cgi? article=1640&context=etd_projects https://arxiv.org/pdf/1903.00904v2.pdf https://arxiv.org/pdf/1910.03818v2.pdf https://arxiv.org/pdf/1906.11632.pdf