Explore tweets tagged as #MathInML
Sampling errors don’t crash during training; they crash in production. Know your priors. 📘 Learn why: . #MathInML #DistributionShift #PriorsMatter #100DaysOfMathML
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MLE for Bernoullis: The foundation of probabilistic modeling. Learn the concept in minutes: #AI #DataScience #MathInML
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@ayu_sah2 📐 Today’s focus: Linear Algebra.It’s the foundation for high-dimensional data analysis in ML! 🚀.Understanding vectors and solving unknowns in systems of equations is key for optimizing models. 💡. #MathInML #LinearAlgebra #MachineLearning #DataScience #Learning
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What role do you think a strong foundation in mathematics plays in mastering ML?. 🚀 Embrace the beauty of math in the world of Machine Learning with ASK Sathvik. Did you miss the podcast episode? Catch up from here. #MathInML #AIInnovation #Podcast #LLMs
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Day 07 – #60DaysOfLearning2025.📌 Explored Gradient Descent in depth:.🔹 What & Why of GD.🔹 Intuition & Plan.🔹 Math Formulation.🔹 Code Demo 💻.📂 GitHub: #LSPPDay7 #LearningWithLeapfrog #ML #GradientDescent #MathInML #60DaysChallenge.@lftechnology
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📚 The Hundred-Page Machine Learning Book by Andriy Burkov. 🔗 . #MachineLearning #ArtificialIntelligence #PhD #ComputerScience #IndustryExperience #EasyToRead #MathInML #SystematicApproach #MLTopics
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🧠 Alan Turing Lectures @ ICTS.The Mathematics of Large ML Models.📍 ICTS–TIFR, Bengaluru.📅 11–13 Aug 2025.🎙️ Andrea Montanari (Stanford).🆓 Public Lecture: 11 Aug, 16:30.🔗 #AI #MachineLearning #DeepLearning #ICTS #MathInML #Stanford
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Mathematical concepts are the backbone of training a machine learning model. Let's dive into the key ones used in the process! #MathInML #MachineLearning (1/7).
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Embrace the numbers – they're your key to unlocking the full potential of Machine Learning! 📈💡 #MathInML #MachineLearning.
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The hypothesis function for MLR is h(x) = w0 + w1x1 + w2x2 + . wnxn. Here, each w represents a parameter, and x represents the feature. (3/7) #MathInML.
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Anyone else working on vector math or CNNs? Let’s connect!. #MachineLearning #AI #DeepLearning #DataScience #MathInML.
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🧮 Time for some math in #MachineLearning:. Matrix: Data representation. Derivative: How functions change. Dot product: Element-wise multiplication. Mastering the math unlocks powerful ML insights! 🌐📊 #DataScience #MathInML.
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Day 2/90: Today’s focus: Vectors! 🧮 Learned about vector operations, unit vectors, and component form. Vectors are fundamental in ML, and I am building a solid grasp of it ⚡.Comment down essential maths concepts to learn👇🏻.#90DaysOfML #MachineLearning #Vectors #MathInML #Python.
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Ever wonder how machine learning algorithms make predictions? It's all thanks to the magic of math! 📊 Linear algebra, calculus, and statistics are the backbone of ML models. So if you're diving into #MachineLearning, don't forget to brush up on your math skills! 🤖➕ #MathInML.
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Day 11/90: Still working on differentiability today. Had some personal work, but progress is progress! 🔄💪 #90DaysOfML #MachineLearning #KeepGoing #MathInML.
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Day 7/90: Completed learning about limits today! 🔢 Now diving into derivatives—excited to see how these concepts power optimization in ML. 📈. #90DaysOfML #MachineLearning #Calculus #Derivatives #Limits #MathInML #Python.
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Day 8/90: Wrapped up derivatives today! ✅ Feeling more confident with calculus. Up next: continuity and differentiability. Ready to keep pushing forward! 🚀. #90DaysOfML #MachineLearning #Derivatives #Calculus #MathInML #Python.
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Day 10/90: Completed Continuity part today✅ Will start will differentiability tomorrow⌛. Trying to brush up all the important maths concepts before diving into ML. Feeling grateful🌟 #90DaysOfML #MachineLearning #Continuity #differentiability #Calculus #MathInML #Python.
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Day 9/90: Had some work today regarding future plans, so couldn't study much but 1 hour and still on continuity. I will try my best to increase the time soon the things come back on track⌛. #90DaysOfML #MachineLearning #Derivatives #Calculus #MathInML #Python.
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Day 8/90 (Day 6): Gotta be honest—got a bit lazy the last couple of days. 😅 But I'm back now! Finished permutations and combinations and started learning limits and derivatives. Time to pick up the pace! 🚀. #90DaysOfML #Calculus #MachineLearning #KeepGoing #MathInML.
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