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#Computational Reel by @caitlinmell0r (verified account) - The first step in any coding journey is finding the language you want to code with… this will depend on why you're coding and what you're trying to bu
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@caitlinmell0r
The first step in any coding journey is finding the language you want to code with… this will depend on why you’re coding and what you’re trying to build. If you’d like help choosing a language to start with, drop your coding goals in the comments 🤍 #coding #coder #codergirl #computational #phd #artificialintelligence #ai #programmer #programming
#Computational Reel by @mathematisa - Witness a chaotic system in this stunning 3D visualization of the Halvorsen Attractor. This isn't just animation; it's numerical integration solving a
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@mathematisa
Witness a chaotic system in this stunning 3D visualization of the Halvorsen Attractor. This isn't just animation; it's numerical integration solving a set of nonlinear differential equations in real-time. Each trajectory is calculated from three fierce equations, where tiny changes in the initial conditions create wildly divergent paths—a perfect demonstration of the butterfly effect at the heart of chaos theory. This complex system evolves into an intricate fractal structure, revealing the hidden order within deterministic chaos. Crafted with Python and Manim for mathematical animation. For the physicists, mathematicians, and engineers who find beauty in the logic of the universe. This is computational physics as art. @mathematisa Collaboration with @maths.empire #mathanimation #mathematics #math #calculus #likeme #fyp #views Your relationship with Differential Equations?
#Computational Reel by @kreggscode (verified account) - Time complexity measures an algorithm's growth rate with increasing input size, typically expressed using Big O notation like O(1), O(n), O(n log n).
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@kreggscode
Time complexity measures an algorithm's growth rate with increasing input size, typically expressed using Big O notation like O(1), O(n), O(n log n).
#Computational Reel by @code_helping - Here's how AI "thinks" when it sees an image: pixels become numbers, pass through layers of tiny neurons, detect patterns, combine features, and produ
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@code_helping
Here’s how AI “thinks” when it sees an image: pixels become numbers, pass through layers of tiny neurons, detect patterns, combine features, and produce a prediction. . Thousands of small calculations create the AI behind ChatGPT, image generation, speech recognition, self-driving cars, and robotics. . Source: 🎥: https://visualrambling.space/neural-network/ . . #ai #neuralnetworks #deeplearning #machinelearning #computervision #chatgpt #selfdriving #robotics #tech #aitechnology #automation
#Computational Reel by @thephdstudent (verified account) - Not a software developer just a Dr of bioinformatics and computational biology 🧬 👩🏽‍💻 This is one of the top questions I get asked, guys my codi
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@thephdstudent
Not a software developer just a Dr of bioinformatics and computational biology 🧬 👩🏽‍💻 This is one of the top questions I get asked, guys my coding skills involve data analysis, visualisation, building mathematical models, trying out machine learning algorithms etc. The world of coding isn’t only software engineering, there’s so much you can do with it - which is one of many reasons I love it!!! #tech #womenintech #codinglife #bioinformatics #phd #coding #softwareengineer #programming #compsci #softwareengineering
#Computational Reel by @workiniterations - Most people treat Machine Learning as a black box: they provide data and expect a result. However, without a foundational understanding of Linear Alge
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@workiniterations
Most people treat Machine Learning as a black box: they provide data and expect a result. However, without a foundational understanding of Linear Algebra, you are essentially guessing at your model's behavior. In Machine Learning, data is represented as vectors and weight updates are performed through matrix operations. If you cannot visualize these transformations, you cannot effectively debug or optimize a model. Here is a curated list of resources for mastering the foundations of Linear Algebra for AI. 1. Geometric Intuition 3Blue1Brown – Essence of Linear Algebra (YouTube) Before diving into formulas, you must understand what a determinant, a dot product, or an eigenvector actually does to space. This series provides the visual framework that textbooks often lack. 2. Theoretical Rigor MIT 18.06 – Professor Gilbert Strang This is the industry standard for university-level linear algebra. Strang's focus on the four fundamental subspaces provides a depth of understanding that is essential. 3. Practical Implementation Fast.ai – Computational Linear Algebra for Coders If you prefer a code-first approach, this course focuses on how these concepts are implemented in Python and NumPy, skipping the abstract proofs in favor of computational efficiency. 4. The Core Reference Mathematics for Machine Learning (Deisenroth, Faisal, and Ong) This textbook bridges the gap between pure mathematics and ML algorithms. It is perhaps the most comprehensive resource for understanding how Linear Algebra, Calculus, and Probability converge. The three concepts to prioritize: Matrix Multiplication: The fundamental operation behind neural network layers. Eigenvalues and Eigenvectors: Essential for dimensionality reduction and stability analysis. Singular Value Decomposition (SVD): The core of data compression and latent factor analysis. A Physics background taught me that you do not understand a system until you understand its underlying mathematics. Artificial Intelligence is no exception. Next up: Part 3 – Why Calculus is the engine of learning. #machinelearning #linearalgebra #stemeducation #math Which part of ML math messes you up the most?
#Computational Reel by @next_gen_6 (verified account) - Mathematics and computation 🔥 #ComputationalEngineering #MathematicsEngineering #EngineeringMathematics #AlgorithmsAndData #EngineeringAura #FutureEn
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@next_gen_6
Mathematics and computation 🔥 #ComputationalEngineering #MathematicsEngineering #EngineeringMathematics #AlgorithmsAndData #EngineeringAura #FutureEngineers #EngineeringStudents #MathAndLogic #DigitalLogic #STEMEducation#ExplorePage #ReelItFeelIt #ReelTrend #TrendingNow #ViralReel #EducationReels #StudyReels #StudentReels #TechReels #ViralReelsIndia #SmartLearning
#Computational Reel by @rowancheung (verified account) - 🔬Chai Discovery's new AI model, Chai-2, achieved a breakthrough 20% success rate in designing functional antibodies from scratch, far exceeding the t
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@rowancheung
🔬Chai Discovery’s new AI model, Chai-2, achieved a breakthrough 20% success rate in designing functional antibodies from scratch, far exceeding the team’s 1% goal and traditional methods below 0.1%. The system successfully created working antibodies for nearly half of 50 challenging disease targets that had previously stumped scientists. In one case, Chai-2 solved in hours what a research group had failed to accomplish over three years and $5-10 million. The entire process from computer design to lab validation takes just two weeks. This represents a potential paradigm shift in pharmaceutical development, dramatically reducing drug discovery timelines from years to weeks. #trendingreels #ai #biotech #research #science #tech #startup
#Computational Reel by @cs.bocchi - a video on an introduction of numerical analysis in computer science comment for more video suggestions❗️ - - - - - - ────────────── ⋆ ───────── ⋆ ✦
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@cs.bocchi
a video on an introduction of numerical analysis in computer science comment for more video suggestions❗️ — — — — — — ────────────── ⋆ ───────── ⋆ ✦──────────✦ Computers don’t do exact math. They approximate. Floating-point numbers are finite, which means rounding error is everywhere — roots, integrals, differential equations, even simple comparisons. That’s why code can look correct and still be wrong. Numerical methods (numerical analysis) teach us how to measure error, understand convergence, and know when an algorithm fails. If you work in games, graphics, machine learning, or any real system, this stuff matters more than you think. #bocchitherock #computerscience #coding #math #csmajor
#Computational Reel by @tinytoxictofu (verified account) - Computational physics is a really cool subject! If there's an elective for you, highly recommend! #science #physics #stem #programming #scicomm
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@tinytoxictofu
Computational physics is a really cool subject! If there's an elective for you, highly recommend! #science #physics #stem #programming #scicomm
#Computational Reel by @aliencalc - CARDIAC ELECTROCHEMICAL WAVES 💓⚡️ HOLD FINGER TO READ MATH 👆🏼 This simulation tracks a beating heart surface, evolving in time as a full 3D manifo
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@aliencalc
CARDIAC ELECTROCHEMICAL WAVES 💓⚡️ HOLD FINGER TO READ MATH 👆🏼 This simulation tracks a beating heart surface, evolving in time as a full 3D manifold: Rₜ : Σ × [0,T] → ℝ³ We also explore reaction–diffusion patterns on the heart via the Gray–Scott system: ∂u/∂t = Dᵤ Δₛ u - u v² + F(1-u), ∂v/∂t = Dᵥ Δₛ v + u v² - (F+k)v • u & v reveal chemical wave propagation along the myocardium • Surface 1-form ω = dₛv shows induced vector fields Simulation combines MATLAB ( @matlab) for PDEs + Blender ( @blender) for smooth 3D rendering Comment with questions or thoughts on how the heart “breathes” in math 🫀 🎶 Music: LUZ ROJA (Slowed) - bxkq ( @bxkq) #differentialgeometry #reactiondiffusion #scientificvisualization #computationalbiology #mathematicsinmotion #blender3d #matlab #patternformation #surfacepdes

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