L-0 : Course Introduction | AtoZ Mathematics for Data Science with Applications | Arpit Yadav скачать в хорошем качестве

L-0 : Course Introduction | AtoZ Mathematics for Data Science with Applications | Arpit Yadav

📊 AtoZ Mathematics for Data Science with Applications | Course Introduction If you want to learn Data Science or Machine Learning, the biggest challenge is understanding the mathematics behind it. In this course, we will learn the complete Mathematics required for Data Science from basics to applications. This series is designed for: • B.Tech / BCA / BSc students • Data Science beginners • Machine Learning enthusiasts • Anyone who wants strong mathematical foundations for AI/ML In this lecture (L-0), we will discuss: ✔ What mathematics is required for Data Science ✔ Course structure and roadmap ✔ How Linear Algebra, Statistics and Calculus are used in Machine Learning ✔ Real-world applications in Data Science Topics Covered in the Complete Course: • Linear Algebra • Statistics • Probability • Differential Calculus • Optimization • Mathematical Foundations of Machine Learning Applications we will connect with: • Linear Regression • Dimensionality Reduction (PCA) • Neural Networks • Machine Learning models This course is designed to make mathematics intuitive, practical and directly connected to Data Science applications. ------------------------------------- Join Discussion Group: https://chat.whatsapp.com/DK7kslx5nSb... Free Notes & Updates:   / gatewitharpit   ------------------------------------- Instructor: Arpit Yadav AIR 380 – GATE CSE IIT Kanpur ------------------------------------- 📌 Playlist: AtoZ Mathematics for Data Science New lectures will be uploaded regularly. Subscribe and turn on notifications to follow the complete series.