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@gdurys

Software engineer, dad, gamer, #teamfromagefondu // TODO: complete bio // GOTO @durys.xyz

Belgium Katılım Ekim 2009
763 Takip Edilen230 Takipçiler
sʎɹnꓷ sǝllᴉꓨ
sʎɹnꓷ sǝllᴉꓨ@gdurys·
@2_expat Question de novice: c'est sensé mesurer quoi cet appareil et avec quelle unité ? (Parce ce que 6000 unité/cm², autant parler de 15000 bovis, c'est équivalent)
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l'Expat' -
l'Expat' -@2_expat·
Sûrement une Tesla à propulsion nucléaire...
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Dhairya
Dhairya@dkare1009·
BREAKING: MIT just mass released their Al library for free. (Links included) I went through these and honestly... this is better than most paid courses I've seen. Here's the full list of books: Foundations 1. Foundations of Machine Learning Core algorithms explained. Theory meets practice. 2. Understanding Deep Learning Neural networks demystified. Visual explanations included. 3. Machine Learning Systems Production-ready architecture. System design principles. Advanced Techniques 4. Algorithms for ML Computational thinking simplified. Decision-making frameworks. 5. Deep Learning The definitive textbook. Covers everything deeply. Reinforcement Learning 6. RL Basics (Sutton & Barto) The classic. Agent training fundamentals. 7. Distributional RL Beyond expected rewards. Advanced theory. 8. Multi-Agent Systems Agents working together. Coordination and competition. 9. Long Game Al Strategic agent design. Future-focused thinking. Ethics & Probability 10. Fairness in ML Bias detection. Responsible Al practices. 11. Probabilistic ML (Part 1 & 2) Links: lnkd.in/gkuXuexa Most people pay thousands for bootcamps that teach half of this. Bookmark it. Start anywhere. Just start. Repost for others Follow for more insights on Al Agents. MIT's books on Al Foundations 1. Foundations of Machine Learning - lnkd.in/gytjT5HC 2. Understanding Deep Learning - lnkd.in/dgcB68Qt 3. Machine Learning Systems - lnkd.in/dkiGZisg Advanced Techniques 4. Algorithms for ML - algorithmsbook.com 5. Deep Learning - lnkd.in/g2efT6DK Reinforcement Learning 6. RL Basics (Sutton & Barto) - lnkd.in/guxqxcZZ 7. Distributional RL - lnkd.in/d4eNP-pe 8. Multi-Agent Systems - marl-book.com 9. Long Game Al - lnkd.in/g-WtzvwX Ethics & Probability 10. Fairness in ML - fairmlbook.org 11. Probabilistic ML (Part 1) - lnkd.in/g-isbdjj 12. Probabilistic ML (Part 2) - lnkd.in/gJE9fy4w
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Mr.UROSE-FAUX 
Mr.UROSE-FAUX @DreatonAlain·
@tim_cook Can’t wait Touch screen MacBook?
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Marius Benthin
Marius Benthin@marius_benthin·
#NPM package author a_awerin started last Friday with simple, grounded JavaScript functions like capitalize(str). But after the weekend, things changed - the package now includes malicious code. For example: hxxps://x-ya[.]ru/FvXnR/msinit npmjs.com/package/ambar-…
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Terrible Maps
Terrible Maps@TerribleMaps·
It’s wild how many places in England were named after US towns
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Slashdot
Slashdot@slashdot·
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sʎɹnꓷ sǝllᴉꓨ
sʎɹnꓷ sǝllᴉꓨ@gdurys·
Il y a des utilisateurs de FastFiber dans le coin ? Des avis ?
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Nain Portekoi 🇨🇵
Nain Portekoi 🇨🇵@Nain_Portekoi·
Et en plus tout ça pour finir par souhaiter "Bonne année" comme tous les islamo-gauchistes woke de base à peine 6 heures plus tard...
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Nain Portekoi 🇨🇵
Nain Portekoi 🇨🇵@Nain_Portekoi·
Imagine tu n'as TELLEMENT rien à dire que tu essayes de créer une polémique à propos de la Saint-Sylvestre, que personne ne fête. Jamais. Nulle part... Nan, je déconne, personne n'est aussi nul. À part Gilbert Collard, bien évidemment.
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Lily Croft
Lily Croft@LilyCroftVT·
Les gens qui ont deja leur combinaison de ski a l'aire d'autoroute de Reims...c'est quoi le concept ? C'EST QUOI LE CONCEPT ?
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