#Parametres

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#Parametres Reel by @pycodeai - Pointers are a hard topic for beginners. Send this to someone who needs it and comment below how you learned about pointers! . . . . . . . . . . . #py
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PY
@pycodeai
Pointers are a hard topic for beginners. Send this to someone who needs it and comment below how you learned about pointers! . . . . . . . . . . . #python #pythonprogramming #development #developer #ai #softwaredeveloper #coder #coding #computerscience #computer #artificialintelligence #quiz #computerprogramming #programming #programminglanguage #dev #developerlife
#Parametres Reel by @ml_ka_keeda - PCA = Maximum variance + Minimum redundancy 👇 Orthogonal PCs Follow @ml_ka_keeda for more such videos Principal Components (PCs) are orthogonal be
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ML
@ml_ka_keeda
PCA = Maximum variance + Minimum redundancy 👇 Orthogonal PCs Follow @ml_ka_keeda for more such videos Principal Components (PCs) are orthogonal because PCA finds directions of maximum variance that are uncorrelated with each other. Orthogonality = No redundancy. ⸻ 🔹 The Real Reason : PCA is based on the covariance matrix of the data. Key property 👉 The covariance matrix is symmetric And an important linear algebra result says: ➡️ Eigenvectors of a symmetric matrix are orthogonal In PCA: • PCs = Eigenvectors of the covariance matrix So automatically → PCs are orthogonal. ⸻ 🔹 Intuition PCA works step-by-step: Step 1: Find the direction with maximum variance → First Principal Component (PC1) Step 2: Now find the next direction with: ✔️ Maximum remaining variance ❌ No overlap with PC1 To ensure no repeated information, PCA forces PC2 to be perpendicular to PC1. Same logic continues for PC3, PC4… #datascience #linearalgebra #statistics #machinelearning #dimensionality
#Parametres Reel by @vandanacodes - Stop memorizing solutions. Start identifying patterns. 🧠 If a question says: Subarray + Sum = K Your brain should instantly think: 👉 PREFIX SUM.
2.5K
VA
@vandanacodes
Stop memorizing solutions. Start identifying patterns. 🧠 If a question says: Subarray + Sum = K Your brain should instantly think: 👉 PREFIX SUM. That one shift takes you from O(n²) brute force to O(n) optimized solution. Most students practice problems. Top candidates recognize patterns. Save this for your next coding interview 💾 Comment “PREFIX” if this clicked 💡 #dsa #datastructures #algorithms #codinginterview #leetcode #interviewprep #ProgrammerLife #codinglife #developers #softwareengineer #techcareers #codenewbie #learntocode
#Parametres Reel by @datamindzquiz - A short quiz you can complete in moments. Encourages steady learning through repetition. #knowledgecheck #learningeveryday #machinelearning #datascie
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DA
@datamindzquiz
A short quiz you can complete in moments. Encourages steady learning through repetition. #knowledgecheck #learningeveryday #machinelearning #datascience
#Parametres Reel by @synaptix_lab - My Secret revealed. There's very little "Maths". It's a computer. I let it do the math. I just tell it what when and where. It knows how many. It'
1.1K
SY
@synaptix_lab
My Secret revealed. There's very little "Maths". It's a computer. I let it do the math. I just tell it what when and where. It knows how many. It's an Algebra engine. You feed it the Variables and the Formula. Don't do it's job. That actually makes it so much harder for it. Because it has to process your math backwards to move on. Let it think in its own language.
#Parametres Reel by @kreggscode (verified account) - Insertion Sort (The Simple Helper) 🤏: Like sorting a hand of cards-simple and stable, but slow for large data (O(n^2)). Works like a charm for small
5.5M
KR
@kreggscode
Insertion Sort (The Simple Helper) 🤏: Like sorting a hand of cards—simple and stable, but slow for large data (O(n^2)). Works like a charm for small or nearly sorted arrays (O(n)). Heap Sort (The Guaranteed Performer) 🛡️: Uses Binary Heap for guaranteed O(n \log n) performance. Reliable for large data with minimal extra memory (O(1)).

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