pat
@neuralpat
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ml & math | blog: https://t.co/UaOPBVTAPd
Joined April 2025
DEC 2025 GOALS🎯 math: > finish Calc 1 and 2 > 50 pages of Calculus ET > 80 pages of Strang’s LA > basics of probability coding: > 1 tiny project: iris classification
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end sem prep day 3; exam starts in a week. PS: ignore the super childish topic that i’m studying.
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DAY 1–100 RECAP i started learning ml from scratch a few months ago. took breaks during college exams. tried doing ml + math together but it became exhausting, so i shifted fully to math. this is everything i’ve covered so far in my ml journey — especially the math for ml.
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gm folks; we are starting lec 3.6.
DAY 1–100 RECAP i started learning ml from scratch a few months ago. took breaks during college exams. tried doing ml + math together but it became exhausting, so i shifted fully to math. this is everything i’ve covered so far in my ml journey — especially the math for ml.
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DAY 1–100 RECAP i started learning ml from scratch a few months ago. took breaks during college exams. tried doing ml + math together but it became exhausting, so i shifted fully to math. this is everything i’ve covered so far in my ml journey — especially the math for ml.
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ML GRIND DAY 102: ~2.5 hr grind. • watched lecture 3.5. • topics covered: limits at infinity of polynomials. • solved a few problems on the same.
ML GRIND DAY 101: ~3 hr grind • finished lectures 3.2, 3.3 & 3.4. • topics covered: Rolle’s Theorem, Mean Value Theorem, First & Second Derivative Tests. • solved a few problems based on these concepts.
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3.5 ☑️ solved few problems on removable and non-removable discontinuity.
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ML GRIND DAY 101: ~3 hr grind • finished lectures 3.2, 3.3 & 3.4. • topics covered: Rolle’s Theorem, Mean Value Theorem, First & Second Derivative Tests. • solved a few problems based on these concepts.
ML GRIND DAY 100: ~4 hr grind • finished lectures 2.8 and 3.1. • topics covered: related rates, increasing/decreasing functions, concavity, critical numbers, and relative/absolute max–min. • solved a bunch of problems on these topics.
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longer tweets incoming. thank you @sharpeye_wnl for the sponsorship!🫶
thinking of getting premium as i've a few updates which are quite long to fit in regular tweet size but 427 seems a little too much to my miser a**😭
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and we’re done; also solved a few Qs.
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thinking of getting premium as i've a few updates which are quite long to fit in regular tweet size but 427 seems a little too much to my miser a**😭
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evening folks; we gonna finish lec 3.2, 3.3 and 3.4 today.
ML GRIND DAY 100: ~4 hr grind • finished lectures 2.8 and 3.1. • topics covered: related rates, increasing/decreasing functions, concavity, critical numbers, and relative/absolute max–min. • solved a bunch of problems on these topics.
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ML GRIND DAY 100: ~4 hr grind • finished lectures 2.8 and 3.1. • topics covered: related rates, increasing/decreasing functions, concavity, critical numbers, and relative/absolute max–min. • solved a bunch of problems on these topics.
ML GRIND DAY 99: ~2.5 hr grind • finished lecture 2.7. • topic covered: implicit differentiation. • solved quite a few problems on it.
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things happening in f1 right now > yuki and george complete useless > everyone suddenly missing checo > lando as world champion 🤮 > oscar needs a break > give charles a real car > hamilton (?) > mclaren haters uniting to support max
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thank you max, you’re the champ!!! 2025 wasn’t boring because of you! ❤️ 🦁
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