OpenLayer - #7.1 | Jonathan Tremblay
Dans cet épisode, je discute avec Jonathan Tremblay de son parcours qui l’a amené à faire plusieurs reconsidérations de carrière, de son appréhension du début de sa formation à la maitrise professionnelle en apprentissage automatique au MILA.
Premier épisode de la série Jonathan va au MILA.
Merci à mes commanditaires l'AÉLIES (https://www.aelies.ulaval.ca), le SPLA (https://www.spla.ulaval.ca), l’AGIL (http://www2.ift.ulaval.ca/~agil/) et .Layer (https://www.dotlayer.org/) .
Références des livres : **Theory** - Pattern Recognition And Machine Learning - Bishop - Springer 2006 - https://www.deeplearningbook.org/ - Introduction to Machine Learning - The MIT Press **Programming** - Python 3 Object-oriented Programming - Packt Publishing - Deep Learning with Python - Manning Publications - Apprendre a programmer avec Python 3 - EYROLLES - Design Patterns: Elements of Reusable Object-Oriented Software - Python Data Science Handbook - O'Reilly - Introduction to Machine Learning with Pyhon - O'Reilly - Introduction to Statistical Learning (with Applications in R) - Springer Curse of dimensionality (hypersphere): - https://towardsdatascience.com/on-the-curse-of-dimensionality-b91a3a51268 - Pattern Recognition And Machine Learning - Bishop - Springer 2006 (p.33-38)
Abonne-toi au podcast !--------[Facebook] - https://www.facebook.com/OpenLayerPodcast/[Spotify] - https://open.spotify.com/show/6LWUHrtNrRioE7Ggxkpcno?si=-3tZo88XSnW0Mwcp7sZkLA[Balado Québec] - https://baladoquebec.ca/#!/openlayer[iTunes Podcast] - https://podcasts.apple.com/ca/podcast/openlayer/id1477641065[Google Play Music] - https://playmusic.app.goo.gl/?ibi=com.google.PlayMusic&isi=691797987&ius=googleplaymusic&apn=com.google.android.music&link=https://play.google.com/music/m/Iytw3gkywmyegzfe45u2y5ciqfm?t%3DOpenLayer%26pcampaignid%3DMKT-na-all-co-pr-mu-pod-16[Google Podcast] – OpenLayer Podcast------
Premier épisode de la série Jonathan va au MILA.
Merci à mes commanditaires l'AÉLIES (https://www.aelies.ulaval.ca), le SPLA (https://www.spla.ulaval.ca), l’AGIL (http://www2.ift.ulaval.ca/~agil/) et .Layer (https://www.dotlayer.org/) .
Références des livres : **Theory** - Pattern Recognition And Machine Learning - Bishop - Springer 2006 - https://www.deeplearningbook.org/ - Introduction to Machine Learning - The MIT Press **Programming** - Python 3 Object-oriented Programming - Packt Publishing - Deep Learning with Python - Manning Publications - Apprendre a programmer avec Python 3 - EYROLLES - Design Patterns: Elements of Reusable Object-Oriented Software - Python Data Science Handbook - O'Reilly - Introduction to Machine Learning with Pyhon - O'Reilly - Introduction to Statistical Learning (with Applications in R) - Springer Curse of dimensionality (hypersphere): - https://towardsdatascience.com/on-the-curse-of-dimensionality-b91a3a51268 - Pattern Recognition And Machine Learning - Bishop - Springer 2006 (p.33-38)
Abonne-toi au podcast !--------[Facebook] - https://www.facebook.com/OpenLayerPodcast/[Spotify] - https://open.spotify.com/show/6LWUHrtNrRioE7Ggxkpcno?si=-3tZo88XSnW0Mwcp7sZkLA[Balado Québec] - https://baladoquebec.ca/#!/openlayer[iTunes Podcast] - https://podcasts.apple.com/ca/podcast/openlayer/id1477641065[Google Play Music] - https://playmusic.app.goo.gl/?ibi=com.google.PlayMusic&isi=691797987&ius=googleplaymusic&apn=com.google.android.music&link=https://play.google.com/music/m/Iytw3gkywmyegzfe45u2y5ciqfm?t%3DOpenLayer%26pcampaignid%3DMKT-na-all-co-pr-mu-pod-16[Google Podcast] – OpenLayer Podcast------
