Linear Algebra for A.I.

Are you feeling overwhelmed by the abstract nature of linear algebra? Do you have a desire to uncover the essence of machine learning but find yourself stuck in the complexity of mathematics? Enter a realm where linear algebra is not just about numerical operations, but a captivating story intertwined with the magic of machine learning, data sensemaking, and algorithm unraveling.

I am Jorge, a mathematician with more than a decade of hands-on experience in data science and machine learning. Having navigated through the intricate pathways of mathematical computations and machine learning algorithms, I have written a book that stands out from traditional textbooks. With a conversational style and humor, I will guide you through your exploration of the depths of linear algebra.

This book is not just about understanding linear algebra—it is about experiencing it firsthand. Dive into real-world applications and grasp fundamental concepts that underpin machine learning:

Intuitive Comprehension: View linear algebra as a story where vectors and matrices come to life, making complex ideas feel natural and relatable.

Comprehensive Scope: Covering everything from basic vector addition and matrix multiplication to advanced topics like eigen decomposition and principal component analysis, you will gain a holistic understanding.

Practical Utility: Explore how linear algebra fuels algorithms, aiding in data analysis and model development.

Key takeaways include:

Mastering vectors and matrices through practical scenarios.

Unveiling the magic of eigenvectors, eigenvalues, and their applications.

Delving into advanced topics such as singular value decomposition.

And this only scratches the surface. Explore the essence of machine learning through the lens of linear algebra and let the story of mathematics unfold before you.

Are you ready to embark on this transformative journey? Don't miss out—let the power of linear algebra demystify the secrets of machine learning.

UPDATES - 24/01/2024

• Revised definition of vector spaces.
• New example showcasing the dot product.
• Notation corrections.
• Additional exercises for practice.

Get your copy now!

product information: