<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Lemma — Today&apos;s Pick</title><description>One application, one module, one shape, one journey — rotated daily.</description><link>https://lemma.wiki/</link><language>en-US</language><item><title>finance · The Bitcoin Signature</title><link>https://lemma.wiki/en/finance/bitcoin-signature</link><guid isPermaLink="false">lemma:20587:application:bitcoin-signature</guid><description>Anyone can see your Bitcoin address. No one should see your private key. So how can the network verify that you authorized a payment without learning the secret that authorizes all payments?</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><category>application</category><category>finance</category></item><item><title>module · Distributions</title><link>https://lemma.wiki/en/modules/distributions</link><guid isPermaLink="false">lemma:20587:module:distributions</guid><description>A probability is one guess. A distribution is the whole shape of uncertainty. The thing softmax produces, the thing a histogram is, the thing a return is drawn from. Most quantities a model predicts or a portfolio holds are distributions before they are numbers.</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Equilibrium</title><link>https://lemma.wiki/en/shapes/equilibrium</link><guid isPermaLink="false">lemma:20587:shape:equilibrium</guid><description>Two opposing forces, one point where they cancel. The shape underneath the pendulum, the falling raindrop, and the optimal portfolio: name the forces, write the balance equation, solve for where the net change vanishes.</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · Where Change Vanishes</title><link>https://lemma.wiki/en/journey/where-change-vanishes</link><guid isPermaLink="false">lemma:20587:journey:where-change-vanishes</guid><description>One question — *where does change vanish?* — under three physics applications.</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>finance · Portfolio Risk</title><link>https://lemma.wiki/en/finance/portfolio-risk</link><guid isPermaLink="false">lemma:20586:application:portfolio-risk</guid><description>Two risky assets, mixed, can be less risky than either alone. The mathematics is one cross-term in a quadratic — and it&apos;s the same identity that makes a vector sum&apos;s length more (or less) than the sum of its parts. Variance, covariance, correlation; the dot product of returns.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><category>application</category><category>finance</category></item><item><title>module · Entropy</title><link>https://lemma.wiki/en/modules/entropy</link><guid isPermaLink="false">lemma:20586:module:entropy</guid><description>20 questions to find any one of N items needs log₂ N when items are equally likely. Entropy is the generalization — the expected number of yes/no questions when they aren&apos;t. The bound everything from Wordle to Huffman to password strength bumps against.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Find the Minimum</title><link>https://lemma.wiki/en/shapes/find-the-minimum</link><guid isPermaLink="false">lemma:20586:shape:find-the-minimum</guid><description>The nouns change — loss, calibration error, portfolio risk — but the procedure is one: pick a number to improve, move through choices, stop when improvement runs out. Once you read it once, you recognise it everywhere.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · How Compression Works</title><link>https://lemma.wiki/en/journey/how-compression-works</link><guid isPermaLink="false">lemma:20586:journey:how-compression-works</guid><description>One three-step procedure under JPEG, TF-IDF, and the raw-pixel entropy floor — across graphics and ML.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>graphics · Bezier Curves</title><link>https://lemma.wiki/en/graphics/bezier-curves</link><guid isPermaLink="false">lemma:20585:application:bezier-curves</guid><description>A designer drags four handles. A movie character gets a smooth cheek, a car gets a perfect hood, a letter gets its curve. How does a computer turn a few points into a smooth path?</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>application</category><category>graphics</category></item><item><title>module · Vectors</title><link>https://lemma.wiki/en/modules/vectors</link><guid isPermaLink="false">lemma:20585:module:vectors</guid><description>A point says where. A vector says how to move. The same tuple plays four roles — position, displacement, velocity, feature — across graphics, physics, and ML. Two operations (add and scale) carry every one of them.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Compression</title><link>https://lemma.wiki/en/shapes/compression</link><guid isPermaLink="false">lemma:20585:shape:compression</guid><description>High-dimensional data with too much redundancy. Change basis until most coordinates are small. Drop the small ones. Reconstruct what&apos;s left. JPEG, TF-IDF, and Huffman codes are the *same procedure*, just applied to pixels, words, and probabilities.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 5 days · Vectors Everywhere</title><link>https://lemma.wiki/en/journey/vectors-everywhere</link><guid isPermaLink="false">lemma:20585:journey:vectors-everywhere</guid><description>Same tuple, four roles — across graphics, physics, ML, and finance.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 5 days</category></item><item><title>graphics · Why Images Compress</title><link>https://lemma.wiki/en/graphics/image-compression</link><guid isPermaLink="false">lemma:20584:application:image-compression</guid><description>Two same-size images: one shrinks, one doesn&apos;t. The histogram tells half the story; the spatial structure tells the rest. The entropy module names the floor — this page shows what that floor isn&apos;t bounding.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><category>application</category><category>graphics</category></item><item><title>module · Linearization</title><link>https://lemma.wiki/en/modules/linearization</link><guid isPermaLink="false">lemma:20584:module:linearization</guid><description>Most equations are hard. Their tangent line at a point is easy. Replace one with the other and you get a tool that powers the pendulum clock, Newton&apos;s method, and gradient descent — valid in a regime, wrong outside it. The discipline is the regime.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · The Inverse Problem</title><link>https://lemma.wiki/en/shapes/inverse-problem</link><guid isPermaLink="false">lemma:20584:shape:inverse-problem</guid><description>The forward model is easy: given inputs, compute the output. The inverse is the question that actually matters: given the output, recover the input. Most of finance and most of model calibration is the inverse direction of an equation that&apos;s trivial forward.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · Finding the Minimum</title><link>https://lemma.wiki/en/journey/finding-the-minimum</link><guid isPermaLink="false">lemma:20584:journey:finding-the-minimum</guid><description>One skeleton — objective, move, step, stop — under three applications across ML and finance.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>graphics · Why JPEG Throws Pixels Away</title><link>https://lemma.wiki/en/graphics/jpeg-compression</link><guid isPermaLink="false">lemma:20583:application:jpeg-compression</guid><description>Lossy compression isn&apos;t bound by entropy — it picks what to discard. JPEG changes basis (DCT) so the picture becomes sparse, throws away the coordinates that don&apos;t matter (quantization), and Huffman-packs the rest. Three steps, one savings: fewer coefficients, smaller values, longer zero runs.</description><pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate><category>application</category><category>graphics</category></item><item><title>module · The Integral</title><link>https://lemma.wiki/en/modules/integration</link><guid isPermaLink="false">lemma:20583:module:integration</guid><description>A speedometer reads. How far have you traveled? The integral is what survives when you sum a rate over time. The pair to the derivative — and the fundamental theorem says they are inverses.</description><pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Equilibrium</title><link>https://lemma.wiki/en/shapes/equilibrium</link><guid isPermaLink="false">lemma:20583:shape:equilibrium</guid><description>Two opposing forces, one point where they cancel. The shape underneath the pendulum, the falling raindrop, and the optimal portfolio: name the forces, write the balance equation, solve for where the net change vanishes.</description><pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 7 days · Change and accumulation in 7 days</title><link>https://lemma.wiki/en/journey/change-and-accumulation</link><guid isPermaLink="false">lemma:20583:journey:change-and-accumulation</guid><description>How calculus runs both physics and finance — same math, different nouns.</description><pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 7 days</category></item><item><title>graphics · Curve Intersections</title><link>https://lemma.wiki/en/graphics/curve-intersections</link><guid isPermaLink="false">lemma:20582:application:curve-intersections</guid><description>Drag two conics. Sometimes you see four crossings. Sometimes two. Sometimes none. Bezout says the count is still four. Where did the missing intersections go — and what does a graphics engine do about it?</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><category>application</category><category>graphics</category></item><item><title>module · Bezout&apos;s Theorem</title><link>https://lemma.wiki/en/modules/bezout</link><guid isPermaLink="false">lemma:20582:module:bezout</guid><description>Two curves of degrees d, e meet in exactly d·e points — once the plane is repaired three ways. The chord-and-tangent feeds elliptic-curve arithmetic, which feeds Bitcoin signatures.</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Find the Minimum</title><link>https://lemma.wiki/en/shapes/find-the-minimum</link><guid isPermaLink="false">lemma:20582:shape:find-the-minimum</guid><description>The nouns change — loss, calibration error, portfolio risk — but the procedure is one: pick a number to improve, move through choices, stop when improvement runs out. Once you read it once, you recognise it everywhere.</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 7 days · To Backprop in 7 days</title><link>https://lemma.wiki/en/journey/to-backprop</link><guid isPermaLink="false">lemma:20582:journey:to-backprop</guid><description>Why does a model train? It walks downhill. The hill is a function.</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 7 days</category></item><item><title>physics · Projectile Motion</title><link>https://lemma.wiki/en/physics/projectile-motion</link><guid isPermaLink="false">lemma:20581:application:projectile-motion</guid><description>Throw a ball. Ignore air. Its horizontal motion keeps time; its vertical motion loses to gravity. Why does that make a parabola?</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><category>application</category><category>physics</category></item><item><title>module · The Derivative</title><link>https://lemma.wiki/en/modules/derivatives</link><guid isPermaLink="false">lemma:20581:module:derivatives</guid><description>A moving point leaves a trail. The derivative is not the trail — it is the arrow the trail wants to become at this instant. Secant slopes converge to tangent slopes, and the same machine becomes slope, velocity, and rate.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Compression</title><link>https://lemma.wiki/en/shapes/compression</link><guid isPermaLink="false">lemma:20581:shape:compression</guid><description>High-dimensional data with too much redundancy. Change basis until most coordinates are small. Drop the small ones. Reconstruct what&apos;s left. JPEG, TF-IDF, and Huffman codes are the *same procedure*, just applied to pixels, words, and probabilities.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 7 days · To Bitcoin in 7 days</title><link>https://lemma.wiki/en/journey/to-bitcoin</link><guid isPermaLink="false">lemma:20581:journey:to-bitcoin</guid><description>From the most expensive pizza in history to the signature that keeps a wallet safe.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 7 days</category></item><item><title>physics · Why Falling Stops Speeding Up</title><link>https://lemma.wiki/en/physics/terminal-velocity</link><guid isPermaLink="false">lemma:20580:application:terminal-velocity</guid><description>Gravity pulls forever, but a falling raindrop doesn&apos;t speed up forever. The reason is one first-order equation — a derivative balanced against a force that grows with speed. Terminal velocity is not a maximum; it&apos;s an equilibrium.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>application</category><category>physics</category></item><item><title>module · Parametric Curves</title><link>https://lemma.wiki/en/modules/parametric-curves</link><guid isPermaLink="false">lemma:20580:module:parametric-curves</guid><description>A curve is not a picture. Three motions can paint the same parabola — same image, different parametrizations. Pin down the distinction the word &apos;curve&apos; was hiding, and a whole stack of downstream tools snaps into place.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · The Inverse Problem</title><link>https://lemma.wiki/en/shapes/inverse-problem</link><guid isPermaLink="false">lemma:20580:shape:inverse-problem</guid><description>The forward model is easy: given inputs, compute the output. The inverse is the question that actually matters: given the output, recover the input. Most of finance and most of model calibration is the inverse direction of an equation that&apos;s trivial forward.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · Working Backward</title><link>https://lemma.wiki/en/journey/working-backward</link><guid isPermaLink="false">lemma:20580:journey:working-backward</guid><description>Three pages, one question — given the output, find the input.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>physics · The Pendulum Clock</title><link>https://lemma.wiki/en/physics/pendulum-clock</link><guid isPermaLink="false">lemma:20579:application:pendulum-clock</guid><description>Double the swing. Why does the clock barely change? A real pendulum&apos;s period depends on amplitude — but for small swings it almost doesn&apos;t. Linearize sin θ ≈ θ, and the period becomes constant. The clock stands on that approximation.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>application</category><category>physics</category></item><item><title>module · The Logarithm</title><link>https://lemma.wiki/en/modules/log</link><guid isPermaLink="false">lemma:20579:module:log</guid><description>The trick that turns × into +. The whole module is one equation; everything else is consequence.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Equilibrium</title><link>https://lemma.wiki/en/shapes/equilibrium</link><guid isPermaLink="false">lemma:20579:shape:equilibrium</guid><description>Two opposing forces, one point where they cancel. The shape underneath the pendulum, the falling raindrop, and the optimal portfolio: name the forces, write the balance equation, solve for where the net change vanishes.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · Where Change Vanishes</title><link>https://lemma.wiki/en/journey/where-change-vanishes</link><guid isPermaLink="false">lemma:20579:journey:where-change-vanishes</guid><description>One question — *where does change vanish?* — under three physics applications.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>physics · Why Things Stop Swinging</title><link>https://lemma.wiki/en/physics/damped-oscillator</link><guid isPermaLink="false">lemma:20578:application:damped-oscillator</guid><description>A pendulum left alone slows and stops; the same pendulum pushed on the beat swings higher and higher. One equation — ẍ + 2γ·ẋ + ω₀²·x = F(t) — runs both. Damping decides how it stops; resonance decides when an outside push wins.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>application</category><category>physics</category></item><item><title>module · Optimization</title><link>https://lemma.wiki/en/modules/optimization</link><guid isPermaLink="false">lemma:20578:module:optimization</guid><description>Optimization is not finding the formula. It is choosing a quantity to improve, then moving through possible choices until improvement stops. The same five steps — objective, search space, move, step size, stopping — run gradient descent in ML, weight selection in portfolios, and temperature fitting in calibration. Different algorithms, identical bones.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Find the Minimum</title><link>https://lemma.wiki/en/shapes/find-the-minimum</link><guid isPermaLink="false">lemma:20578:shape:find-the-minimum</guid><description>The nouns change — loss, calibration error, portfolio risk — but the procedure is one: pick a number to improve, move through choices, stop when improvement runs out. Once you read it once, you recognise it everywhere.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · How Compression Works</title><link>https://lemma.wiki/en/journey/how-compression-works</link><guid isPermaLink="false">lemma:20578:journey:how-compression-works</guid><description>One three-step procedure under JPEG, TF-IDF, and the raw-pixel entropy floor — across graphics and ML.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>finance · The Bitcoin Pizza</title><link>https://lemma.wiki/en/finance/bitcoin-pizza</link><guid isPermaLink="false">lemma:20577:application:bitcoin-pizza</guid><description>On May 22, 2010, a Florida programmer paid 10,000 BTC for two Papa John&apos;s pizzas — about $41. Sixteen years later, those coins are worth $1 billion. The most expensive meal in history.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>application</category><category>finance</category></item><item><title>module · Distributions</title><link>https://lemma.wiki/en/modules/distributions</link><guid isPermaLink="false">lemma:20577:module:distributions</guid><description>A probability is one guess. A distribution is the whole shape of uncertainty. The thing softmax produces, the thing a histogram is, the thing a return is drawn from. Most quantities a model predicts or a portfolio holds are distributions before they are numbers.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Compression</title><link>https://lemma.wiki/en/shapes/compression</link><guid isPermaLink="false">lemma:20577:shape:compression</guid><description>High-dimensional data with too much redundancy. Change basis until most coordinates are small. Drop the small ones. Reconstruct what&apos;s left. JPEG, TF-IDF, and Huffman codes are the *same procedure*, just applied to pixels, words, and probabilities.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 5 days · Vectors Everywhere</title><link>https://lemma.wiki/en/journey/vectors-everywhere</link><guid isPermaLink="false">lemma:20577:journey:vectors-everywhere</guid><description>Same tuple, four roles — across graphics, physics, ML, and finance.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 5 days</category></item><item><title>finance · What Is Future Money Worth Today?</title><link>https://lemma.wiki/en/finance/present-value</link><guid isPermaLink="false">lemma:20576:application:present-value</guid><description>A future dollar is not a present dollar. Discounting and integration price every cash-flow stream — from rent to bonds to perpetuities — through one identity: future cash times the discount factor, summed across time.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>application</category><category>finance</category></item><item><title>module · Entropy</title><link>https://lemma.wiki/en/modules/entropy</link><guid isPermaLink="false">lemma:20576:module:entropy</guid><description>20 questions to find any one of N items needs log₂ N when items are equally likely. Entropy is the generalization — the expected number of yes/no questions when they aren&apos;t. The bound everything from Wordle to Huffman to password strength bumps against.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · The Inverse Problem</title><link>https://lemma.wiki/en/shapes/inverse-problem</link><guid isPermaLink="false">lemma:20576:shape:inverse-problem</guid><description>The forward model is easy: given inputs, compute the output. The inverse is the question that actually matters: given the output, recover the input. Most of finance and most of model calibration is the inverse direction of an equation that&apos;s trivial forward.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 4 days · Finding the Minimum</title><link>https://lemma.wiki/en/journey/finding-the-minimum</link><guid isPermaLink="false">lemma:20576:journey:finding-the-minimum</guid><description>One skeleton — objective, move, step, stop — under three applications across ML and finance.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 4 days</category></item><item><title>ml / dl · TF-IDF</title><link>https://lemma.wiki/en/ml/tf-idf</link><guid isPermaLink="false">lemma:20575:application:tf-idf</guid><description>Why does Google show those results in that order? For thirty years the decision rule barely changed. TF-IDF ranks documents by a score that looks like a sum of probabilities — and the log inside it is the same log as in entropy. Rare words carry many bits; common words carry near zero. Stopwords aren&apos;t a list, they&apos;re the zero set of a function.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><category>application</category><category>ml / dl</category></item><item><title>module · Vectors</title><link>https://lemma.wiki/en/modules/vectors</link><guid isPermaLink="false">lemma:20575:module:vectors</guid><description>A point says where. A vector says how to move. The same tuple plays four roles — position, displacement, velocity, feature — across graphics, physics, and ML. Two operations (add and scale) carry every one of them.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Equilibrium</title><link>https://lemma.wiki/en/shapes/equilibrium</link><guid isPermaLink="false">lemma:20575:shape:equilibrium</guid><description>Two opposing forces, one point where they cancel. The shape underneath the pendulum, the falling raindrop, and the optimal portfolio: name the forces, write the balance equation, solve for where the net change vanishes.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 7 days · Change and accumulation in 7 days</title><link>https://lemma.wiki/en/journey/change-and-accumulation</link><guid isPermaLink="false">lemma:20575:journey:change-and-accumulation</guid><description>How calculus runs both physics and finance — same math, different nouns.</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 7 days</category></item><item><title>ml / dl · Model Calibration</title><link>https://lemma.wiki/en/ml/model-calibration</link><guid isPermaLink="false">lemma:20574:application:model-calibration</guid><description>A model says &apos;70% confident.&apos; Does that mean, across many such predictions, seven in ten are right? The number on the screen and the long-run frequency are two different quantities. The reliability diagram makes the gap visible; one scalar — temperature — rotates the curve back to the diagonal.</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><category>application</category><category>ml / dl</category></item><item><title>module · Linearization</title><link>https://lemma.wiki/en/modules/linearization</link><guid isPermaLink="false">lemma:20574:module:linearization</guid><description>Most equations are hard. Their tangent line at a point is easy. Replace one with the other and you get a tool that powers the pendulum clock, Newton&apos;s method, and gradient descent — valid in a regime, wrong outside it. The discipline is the regime.</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><category>module</category><category>module</category></item><item><title>shape · Find the Minimum</title><link>https://lemma.wiki/en/shapes/find-the-minimum</link><guid isPermaLink="false">lemma:20574:shape:find-the-minimum</guid><description>The nouns change — loss, calibration error, portfolio risk — but the procedure is one: pick a number to improve, move through choices, stop when improvement runs out. Once you read it once, you recognise it everywhere.</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><category>shape</category><category>shape</category></item><item><title>journey · 7 days · To Backprop in 7 days</title><link>https://lemma.wiki/en/journey/to-backprop</link><guid isPermaLink="false">lemma:20574:journey:to-backprop</guid><description>Why does a model train? It walks downhill. The hill is a function.</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><category>journey</category><category>journey · 7 days</category></item></channel></rss>