2.0 | Overview | Interpolation & Regression | Numerical Method in Nepali
Welcome to Digital Nomad Academy (DNA)! In this lecture, we provide a detailed overview of the Interpolation and Regression syllabus as part of the Numerical Method course under the BSc.CSIT 3rd Semester by TU. Designed for students in BIT 3rd semester, BCA 4th semester, and related IT disciplines, this video is presented in Nepali to ensure easy comprehension for all computer science and IT students across Nepal.
Topics Covered:
1. Interpolation vs Extrapolation: Understanding the key differences
2. Linear Interpolation: How to estimate values in between data points
3. Lagrange's Interpolation: Solving interpolation problems using polynomial expressions
4. Newton's Divided Difference: Simplifying calculations for interpolating values
5. Forward and Backward Difference Interpolation: Efficient methods for discrete data points
6. Cubic Spline Interpolation: A smooth curve-fitting technique for complex datasets
7. Regression vs Interpolation: When and why to use each method
8. Least Squares Methods: Minimizing errors in data approximation
9. Linear Regression: Modeling relationships between variables
10. Polynomial Regression: Fitting a polynomial curve to data
11. Exponential Regression: Analyzing growth or decay trends in data
This lecture includes real-world examples and practical applications, such as predicting trends in finance, science, and engineering, to enhance your understanding of how these concepts are applied in everyday scenarios.
Why Watch This Video?
We simplify complex mathematical theories with clear explanations, study tips, and resources to help students master Numerical Method topics. This lecture is specifically tailored for students preparing for BSc.CSIT 3rd semester exams, as well as BIT and BCA students studying courses related to Numerical Method.
Keywords:
Interpolation vs extrapolation, linear interpolation, lagrange’s interpolation, newton’s divided difference, forward difference interpolation, backward difference interpolation, cubic spline interpolation, regression vs interpolation, least square methods, linear regression tutorial, polynomial regression Nepali, exponential regression, numerical method syllabus Nepali, BSc.CSIT 3rd semester numerical method, BIT 3rd semester interpolation, BCA 4th semester regression, numerical analysis in Nepali, Nepali IT education, computer science Nepal, TU numerical method syllabus
Видео 2.0 | Overview | Interpolation & Regression | Numerical Method in Nepali канала Digital Nomad Academy
Topics Covered:
1. Interpolation vs Extrapolation: Understanding the key differences
2. Linear Interpolation: How to estimate values in between data points
3. Lagrange's Interpolation: Solving interpolation problems using polynomial expressions
4. Newton's Divided Difference: Simplifying calculations for interpolating values
5. Forward and Backward Difference Interpolation: Efficient methods for discrete data points
6. Cubic Spline Interpolation: A smooth curve-fitting technique for complex datasets
7. Regression vs Interpolation: When and why to use each method
8. Least Squares Methods: Minimizing errors in data approximation
9. Linear Regression: Modeling relationships between variables
10. Polynomial Regression: Fitting a polynomial curve to data
11. Exponential Regression: Analyzing growth or decay trends in data
This lecture includes real-world examples and practical applications, such as predicting trends in finance, science, and engineering, to enhance your understanding of how these concepts are applied in everyday scenarios.
Why Watch This Video?
We simplify complex mathematical theories with clear explanations, study tips, and resources to help students master Numerical Method topics. This lecture is specifically tailored for students preparing for BSc.CSIT 3rd semester exams, as well as BIT and BCA students studying courses related to Numerical Method.
Keywords:
Interpolation vs extrapolation, linear interpolation, lagrange’s interpolation, newton’s divided difference, forward difference interpolation, backward difference interpolation, cubic spline interpolation, regression vs interpolation, least square methods, linear regression tutorial, polynomial regression Nepali, exponential regression, numerical method syllabus Nepali, BSc.CSIT 3rd semester numerical method, BIT 3rd semester interpolation, BCA 4th semester regression, numerical analysis in Nepali, Nepali IT education, computer science Nepal, TU numerical method syllabus
Видео 2.0 | Overview | Interpolation & Regression | Numerical Method in Nepali канала Digital Nomad Academy
Interpolation Regression Numerical Method Lagrange’s Interpolation Newton’s Divided Difference Forward Difference Backward Difference Cubic Spline Least Squares Method Linear Regression Polynomial Regression Exponential Regression Numerical Analysis BScCSIT BIT 3rd semester BCA 4th semester Numerical Method Nepali Nepali IT Lecture TU Syllabus Computer Science Nepal IT Education Nepal Interpolation vs Extrapolation Regression Analysis csit NM exam
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18 января 2025 г. 9:15:01
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