machine learning

machine learning /channels/taxonomy/term/8179/all en Mastering Data Science: Conversation With Experts on Roles, Responsibilities, and Challenges /channels/channels/event/mastering-data-science-conversation-experts-roles-responsibilities-and-challenges-357646 Gain valuable insights into the rewarding experiences and challenges that data scientists, artificial intelligence (AI) and machine learning specialists, face in their careers. Sat, 08 Jun 2024 02:23:33 +0000 webfull 200428 at /channels Fundamentals of Machine Learning in Python - Summer camp /channels/channels/event/fundamentals-machine-learning-python-summer-camp-348402 <div></div> Thu, 18 May 2023 20:40:36 +0000 webfull 189736 at /channels Basics of Neural Networks and Algorithm Training /channels/channels/event/basics-neural-networks-and-algorithm-training-346483 [This is session 4 in the series Introduction to Machine Learning in Python] Overview: Wed, 01 Mar 2023 18:10:27 +0000 webfull 187690 at /channels Unsupervised clustering and data cleaning /channels/channels/event/unsupervised-clustering-and-data-cleaning-346482 [This is session 3 in the series Introduction to Machine Learning in Python] Wed, 01 Mar 2023 18:05:36 +0000 webfull 187689 at /channels Neural Networks in R /channels/channels/event/neural-networks-r-346476 Overview: Wed, 01 Mar 2023 17:19:12 +0000 webfull 187683 at /channels Introduction to Machine Learning in R /channels/channels/event/introduction-machine-learning-r-346474 Overview: Wed, 01 Mar 2023 17:12:45 +0000 webfull 187681 at /channels Introduction to regression and data collection /channels/channels/event/introduction-regression-and-data-collection-346171 [This is session 2 in the series Introduction to Machine Learning in Python] Thu, 16 Feb 2023 19:16:01 +0000 webfull 187338 at /channels Fundamentals of Machine Learning in Python /channels/channels/event/fundamentals-machine-learning-python-344721 Date &amp; time: Friday, 17 February 2023. Location: hybrid (in-person at Burnside Hall 1104, and online via Zoom). Wed, 04 Jan 2023 18:22:35 +0000 webfull 185793 at /channels Introduction to deep learning with Python /channels/channels/event/introduction-deep-learning-python-339946 Summer camp Computational and Data Systems Initiative Mon, 20 Jun 2022 14:24:32 +0000 webfull 180609 at /channels Machine learning basics, part 2 /channels/channels/event/machine-learning-basics-part-2-338821 Workshop series Computational and Data Systems Initiative Thu, 31 Mar 2022 18:15:16 +0000 webfull 179293 at /channels Machine learning basics, part 1 /channels/channels/event/machine-learning-basics-part-1-338793 Workshop series Computational and Data Systems Initiative Wed, 30 Mar 2022 17:27:18 +0000 webfull 179259 at /channels Largest ever psychedelics study maps changes of conscious awareness to neurotransmitter systems /channels/channels/news/largest-ever-psychedelics-study-maps-changes-conscious-awareness-neurotransmitter-systems-338389 <h4>Applying machine learning to a database of testimonials uncovers how drug-induced changes in subjective awareness are mechanistically rooted in the human brain</h4> Psychedelics are now a rapidly growing area of neuroscience and clinical research, one that may produce much-needed new therapies for disorders such as depression and schizophrenia. Yet there is still a lot to know about how these drug agents alter states of consciousness. Mon, 14 Mar 2022 15:22:46 +0000 webfull 178714 at /channels Value Propositions for Data Projects /channels/channels/event/value-propositions-data-projects-337048 <a href="https://mcgill.zoom.us/meeting/register/tZcvd-ivqDwjEtLssvGNQ6-t0E2GlMrEtmGB" target="_blank"><img src="//www.mcgill.ca/continuingstudies/files/continuingstudies/image.jpeg" style="width:100%; height:100%" /></a> Mon, 24 Jan 2022 20:56:45 +0000 webfull 177104 at /channels Best Paper Award Presented to ECE and School of Computer Science authors /channels/channels/news/best-paper-award-presented-ece-and-school-computer-science-authors-335573 Congratulations to authors: Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee (Samsung Korea)y, Intaik Park (Samsung Korea) for their paper entitled: One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning. It was presented at IEEE Globecome 2021 and awarded Best Paper. Tue, 14 Dec 2021 17:13:52 +0000 webfull 175550 at /channels Fighting Disruption and Fuelling Competitive Advantage with AI /channels/channels/event/fighting-disruption-and-fuelling-competitive-advantage-ai-334122 <img src="//www.mcgill.ca/continuingstudies/files/continuingstudies/012-10-21-pdc_fightingdisruptionandfuellingcompetitiveadvantagewithai_infosession_fb_1.jpg" style="width:100%; height:100%" /> Wed, 13 Oct 2021 23:18:04 +0000 webfull 173912 at /channels