Название: Before Machine Learning, Volume 2 - Calculus for A.I.: The fundamental mathematics for Data Science and Artificial Intelligence
Автор: Jorge Brasil
Издательство: Independently published
Год: 2024
Страниц: 314
Язык: английский
Формат: pdf + code
Размер: 10.1 MB
Does the complexity of calculus in Machine Learning leave you feeling lost in a thicket of equations? Are you eager to find a guide that maps out this territory with clarity and ease? Enter a unique exploration where the world of calculus is demystified through the fascinating biology of bees, offering a perspective on mathematics that is as enlightening as it is unexpected. In this book, I take you on a journey through the mathematical landscapes of derivatives, gradients, and algorithms, illuminated by the natural wisdom of bees. Drawing parallels between the meticulous behaviors of these remarkable insects and the principles of calculus, I present a narrative that is rich with insight and alive with humor. This is not a mere textbook—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. If you wish to complement your reading, you’ll find a link below to download a document filled with practical and coding exercises. The solutions for the practical exercises and the corresponding Python code will also be in that same location.
