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Before Machine Learning Volume 1 – Linear Algebra

This book isn’t just about understanding linear algebra it’s about experiencing it. Dive into real-world applications, and grasp concepts that are foundational to machine learning: Intuitive Understanding: Approach linear algebra as a story, where vectors and matrices come alive, making complex ideas feel intuitive and relatable.

Comprehensive Coverage: From the basics of vector addition and matrix multiplication to advanced topics like eigen decomposition and principal component analysis, get a 360-degree understanding.

Practical Applications: Discover how linear algebra powers algorithms, aiding in data interpretation and model building. Key takeaways include Mastering vectors and matrices in real-world scenarios. The magic behind eigenvectors, eigenvalues, and their applications. Gaining insights into advanced topics like the singular value decomposition. And this is just the tip of the iceberg. Dive in to uncover the essence of machine learning through the lens of linear algebra, and let mathematics weave its story.

 

Before Machine Learning Volume 2 – Calculus

This is not a mere text book it’s a dialogue. It’s a story told through the lens of bee biology, where every concept from gradient descent to neural networks is related back to the intuitive understanding of nature’s own algorithms. Together we will find the connections between the disciplined dance of bees and the structured world of mathematics.

Comprehensive Coverage: From the basics of vector addition and matrix multiplication to advanced topics like eigen decomposition and principal component analysis, get a 360-degree understanding.

Practical Applications: Discover how linear algebra powers algorithms, aiding in data interpretation and model building.

Here’s what to expect:

  • A fresh take on calculus, viewing complex concepts through the simplicity and order of bee behavior.
  • An engaging journey from the basics of calculus to its application in machine learning algorithms like RMSprop, Momentum, and ADAM.
  • Key algorithms like linear regression and neural networks.
  • Coding exercises and practical tasks that mirror the principles you’ll learn.

Prepare to embark on a transformative journey into the heart of calculus. With bees as our guides, we’ll unlock the secrets of machine learning and reveal the mathematical patterns that underpin the digital world. Let’s take flight on this adventure together, where the buzz of bees brings mathematics to life.orielly

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