Загрузка...

Let's slow it all the way down and compute these by hand. 📐

Let's slow it all the way down and compute these by hand. 📐

The dot product, the magnitude, and cosine similarity are each a few arithmetic steps. Do them once on tiny vectors and the formulas stop being symbols — they become moves you can picture. Then we connect every step back to the angle between two arrows.

This is the mechanics post: every operation, traced line by line.

INSIDE THIS POST:
• dot product as multiply-then-sum
• magnitude as the Pythagorean length
• why dot = ‖a‖‖b‖cos(θ)
• cosine similarity step by step
• reading the score: -1, 0, and 1
• the geometry behind perpendicular = 0

Compute one example by hand and you'll trust the formula forever. Save it. 👇

📌 Day 9 of 100 · Post 3 of 5 · Category: Math for ML

🔁 Save this carousel · 👥 Tag a friend who's learning
💬 What's a topic you want covered? Comment below.

🔗 LINKS
· Instagram: @saurav_dnj_24
· GitHub: github.com/SauravDnj
· LinkedIn: linkedin.com/in/sauravdnj

#100DaysOfCarousel #AILearning #TechCarousel #sauravdnj #MathForML #LinearAlgebra
.
.
.
#Statistics #Probability #Calculus #DataScienceMath

Видео Let's slow it all the way down and compute these by hand. 📐 канала Saurav Danej
Комментарии отсутствуют
Зарегистрируйтесь или войдите с
Информация о видео
9 июня 2026 г. 15:00:05
00:00:15
Saurav Danej
Правообладателям
Жалоба на материал Недопустимый материал Нарушение авторских прав
Комментарии
Поделиться
Другие видео канала

Most Pandas pain isn't exotic — it's the same handfulMost Pandas pain isn't exotic — it's the same handful

You can learn ML without linear algebra. You just can't understand it. 🔍You can learn ML without linear algebra. You just can't understand it. 🔍

Every embedding, every search result, every recommendation comes down to one questionEvery embedding, every search result, every recommendation comes down to one question

Most ML failures aren't broken code — they're a modelMost ML failures aren't broken code — they're a model

"AI is brand new." "Progress was steady." "Deep learning is totally new." All wrong. 🚫"AI is brand new." "Progress was steady." "Deep learning is totally new." All wrong. 🚫

Most broken charts aren't broken codeMost broken charts aren't broken code

Under the hood, gradient descent is a tight loop of four moves repeated thousands of times. 🔁Under the hood, gradient descent is a tight loop of four moves repeated thousands of times. 🔁

Almost every statistical summary answers one of three questions: where is the middleAlmost every statistical summary answers one of three questions: where is the middle

Your model hit 99% accuracy and you're thrilled.Your model hit 99% accuracy and you're thrilled.

Your code spends most of its life waitingYour code spends most of its life waiting

Most linear-algebra bugs aren't hard math. They're sloppy shapes and bad habits. 🚫Most linear-algebra bugs aren't hard math. They're sloppy shapes and bad habits. 🚫

Pandas feels fast and a little magic until you understandPandas feels fast and a little magic until you understand

Narrow AI vs General AI — Code ExampleNarrow AI vs General AI — Code Example

The same loop can run in a blink or grind for minutes — and often the only differenceThe same loop can run in a blink or grind for minutes — and often the only difference

Let's build a tiny semantic search engine with nothing but NumPy. 💻Let's build a tiny semantic search engine with nothing but NumPy. 💻

Every model you've ever trained is secretly a pile of vectors and matrices. 🧮Every model you've ever trained is secretly a pile of vectors and matrices. 🧮

Reading about classes is fine. Building oneReading about classes is fine. Building one

Real data is never clean. It arrives with missing valuesReal data is never clean. It arrives with missing values

The internet is mostly unlabeled.The internet is mostly unlabeled.

Reading about containers is fine. Typing them until the operations are muscle memoryReading about containers is fine. Typing them until the operations are muscle memory

Яндекс.Метрика
© 2008-2026 «Информационно-развлекательный портал города Верхняя Салда»
salda.ws@mail.ru Контакты Карта портала Сообщить об ошибке Соглашения Пользовательское соглашение Соглашение о конфиденциальности Согласие на обработку персональных данных Информация для правообладателей Об использовании Cookies
Все заметки Новая заметка Страницу в заметки
Страницу в закладки Мои закладки
На информационно-развлекательном портале SALDA.WS применяются cookie-файлы. Нажимая кнопку Принять, вы подтверждаете свое согласие на их использование.
О CookiesНапомнить позжеПринять