Скачать или смотреть Calculus for Data Science | Day 10/30 of Data Science in 30 Days | Data Science Full Course

Welcome to Day 10 of The Complete Data Science in 30 Days series by The Data Key! 🎓
In this video, we’ll explore one of the most important mathematical foundations of Data Science and Machine Learning — Calculus.
Don’t worry if math sounds intimidating — we’ll make it visual, intuitive, and practical for data science use cases!
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▶️ You’ll learn:
✅ The role of calculus in machine learning & AI
✅ What are functions, limits, and derivatives
✅ How gradients help optimize models
✅ Understanding gradient descent visually
✅ How calculus powers neural networks and backpropagation
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By the end of this video, you’ll understand why calculus is the backbone of every learning algorithm — from linear regression to deep neural networks!
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🔗 Resources & References
📗 Khan Academy - Calculus Basics: https://www.khanacademy.org/math/calc...
📙 3Blue1Brown - Calculus & Deep Learning Visuals: https://www.3blue1brown.com/
📘 Gradient Descent Explained: https://scikit-learn.org/stable/modul...
📊 Python Notebook for Gradient Descent: https://colab.research.google.com/
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OUTLINE:
00:00:00 : The secret engine of smart technology
00:01:53 : What is calculus, really?
00:04:01 : Understanding the slope (derivatives) + intuitive examples
00:06:15 : Partial derivatives and gradients
00:08:42 : Optimization and finding the perfect line
00:10:35 : How machines learn step by step (gradient descent)
00:12:31 : Calculus — the smart heartbeat of ML (wrap-up)
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