Machine Learning Visualized
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
-
-
5,0 • 3 notes
-
Description de l’éditeur
Book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first-principles. The output of each notebook is a visualization of the machine learning algorithm throughout its training phase, ultimately converging at its optimal weights.
Avis d’utilisateurs
gmqomg
,
Extremely helpful for my ML class
I love how visual and detailed the book is, it’s very easy to follow. Highly recommend for anyone taking machine learning classes and professionals looking to learn for fun after work. Overall very satisfied with this book, lshort and sweet, straight to the point.
Google Machine Learning and Generative AI for Solutions Architects
2024
Informed Machine Learning
2025
Machine Learning and Its Application to Reacting Flows
2023
Hyperparameter Tuning for Machine and Deep Learning with R
2023
Decoding AI: A Journey Through Machine Learning, Deep Learning, and Generative Models
2024
Artificial Intelligence and Cognitive Science
2023