Description
A comprehensive guide to building intelligent systems using popular Python machine learning frameworks. Covers techniques from linear regression to deep neural networks, with practical examples using Scikit-Learn, Keras and TensorFlow. Essential for data scientists and ML engineers looking to implement practical machine learning solutions.