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Machine Learning

Linear Algebra

Learn to manipulate data through vectors and matrices using Python libraries like NumPy, SciPy, and scikit-learn. Through practical exercises, develop skills to implement linear regression models and fundamental algorithms in artificial intelligence.
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Course Outcome
Implement linear regression models using matrix algebra.
Duration
40 hours
Level
Beginner

Key Program Takeaways

Algorithm optimization
Understand how linear algebra improves the efficiency of Machine Learning algorithms.
Advanced data manipulation
Learn to transform and analyze complex data using matrix operations.
Solid foundations for AI
Establish an essential mathematical foundation to advance in artificial intelligence and deep learning.

Modules Overview

9 Modules
Module 1. Introduction
Module 2. Entry Assessment
Module 3. Vectors and Vectors Operations
Module 4. Distance Between Vectors
Module 5. Matrices and Matrix Operations
Module 6. Linear Regression from the Inside
Module 7. Course Project
Module 8. Final Assessment
Module 9. Conclusion
Our Experts
Our instructors are industry professionals and machine learning practitioners with real-world experience developing AI solutions for a variety of sectors. Their mission is to guide you through your first steps into the world of ML with clarity, support, and practical insights.

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