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Hear it from one of our lead developers!
@_lewtun is doing a meetup on TDA in Fribourg Wednesday the 5th. "we'll be walking through how the Mapper algorithm works and apply it to some simple examples. No math required - just a laptop with Python" http://meetup.com/Fri-ML/events/268347097/ …pic.twitter.com/0dibzxB0xQ
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Giotto_ai proslijedio/la je Tweet
Delighted for a thrilling session at
@appliedmldays yesterday, for which I thank all our great speakers. Thanks also to#AMLD2020 for agreeing to upload talks and slides. My own slides containing closing remarks and web links can also be found at: https://www.slideshare.net/UmbertoLupo/ai-topology-concluding-remarks-the-opensource-landscape-for-topology-in-machine-learning-and-data-analysis ….Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Giotto_ai proslijedio/la je Tweet
@leland_mcinnes emphasises the distinction between two types of interpretability: the end-user vs deeply understanding how NNs actually work (why don’t the overfit etc)pic.twitter.com/RDzc34OfRC
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Giotto_ai proslijedio/la je Tweet
Nicole Sanderson argues that topology is not “hard” - we just need to do a better job explaining itpic.twitter.com/UIGkrJL5Dd
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Giotto_ai proslijedio/la je Tweet
@MatteoCaorsi moderating the panel discussion with all the speakers in the AI and Topology track at#AMLD2020pic.twitter.com/JQZVG9LnMV
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Giotto_ai proslijedio/la je Tweet
Prof. Nicole Sanderson wrapping up the last technical talk on topology applied to time series
#AMLD2020pic.twitter.com/G3PTnfgRgH
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“I try to push machine learning towards topology!”https://twitter.com/_lewtun/status/1222098892080254976 …
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Giotto_ai proslijedio/la je Tweet
@Pseudomanifold talking about using topology to perform graph classification at#AMLD2020pic.twitter.com/X9JHa2TghH
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Giotto_ai proslijedio/la je Tweet
The AI and Topology track at
#AMLD2020 continues with Prof. Vitaliy Kurlin talking about applications of TDA to material sciencepic.twitter.com/TtXR193vvD
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Giotto_ai proslijedio/la je Tweet
Prof. Frederic Chazal talking about *learning* representations of persistence diagrams for machine learning.
#AMLD2020pic.twitter.com/AlWkCjbERP
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Giotto_ai proslijedio/la je Tweet
Prof. Kathryn Hess kicking off the AI & Topology track at
#AMLD2020 - looking forward to the talks from the speakers!pic.twitter.com/feuWLJPcDk
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"Sounds challenging to got from such an abstract subject to real-world applications" heard in the
@L2F_ai office Curiosity is all you need to add some topology to AI at#AMLD2020. NLP, graphs, material-science & time-series, are some applications discussed at AI & Topologypic.twitter.com/vTD8D19sWv
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TDA x AI
@appliedmldays@vkurlin@ChazalFrederic Katrhyn Hess@leland_mcinnes Nicole Sanderson@Pseudomanifold@umbislupo#AMLD2020pic.twitter.com/DeyQhSHohf
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Cutting-edge research moves so fast, and finding exactly the code you need can be a struggle. We experimented with the latest method for automatic extraction of topological features dubbed ATOL. And we decided to integrate in Giotto:https://towardsdatascience.com/from-cutting-edge-research-to-industrial-applications-with-giotto-c5657a4450de …
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Giotto_ai proslijedio/la je Tweet
Hello, world! This is the official account for NumPy, the fundamental package for scientific computing with Python. Follow us for news, info and content related to NumPy!
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Our ultimate ambition behind Giotto-TDA is to access user-friendly and state-of-the-art methods under one roof.
@umbislupo has been lead developer behind this initiative and he will be closing the track at AI & Topology! https://github.com/giotto-ai/giotto-tda …#AMLD2020pic.twitter.com/yarzPjOVLM
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Innovations often occur at the interface of two very different subjects. With a background in pure topology, Kathryn has been instigating the applications of TDA for example in the Blue brain project
@BlueBrainPjt. Join her at AI & Topology at#AMLD2020@appliedmldayspic.twitter.com/tAmIkeYzOn
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Only in their numerical representation can we do machine learning on graphs Graphs are likely to have topological properties, but these properties are missed by numeric representations At
#AMLD2020@Pseudomanifold will show how TDA can remedy this with high-dimensional embeddingspic.twitter.com/KxtPlcvjsk
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