کتابخانه مهندسی کامپیوتر و پایتون

📘Programming Machine Learning: From Coding to Deep Learning Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.

Practical Machine Learning in JavaScript .pdf

📘Design Patterns in C# A Hands-on Guide with Real-world Examples Second Edition 🆔 @Programming4all_0to100