Hands On Machine Learning With Scikit-learn And Tensorflow :techniques And Tools To Build Learning Machines By Geron Aurelien | Buy Now at UBIQ Bookshop

Explore the machine learning landscape, particularly neural nets

Use scikit-learn to track an example machine-learning project end-to-end

Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods

Use the TensorFlow library to build and train neural nets

Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning

Learn techniques for training and scaling deep neural nets

Apply practical code examples without acquiring excessive machine learning theory or algorithm details

Hands On Machine Learning With Scikit-learn And Tensorflow :techniques And Tools To Build Learning Machines