Hands-on machine learning with scikit-learn and tensorflow: concepts, tools, and techniques to build intelligent systems/
Aurelien Geron
- 2nd ed.
- Kolkata: Shroff Publishers, 2019.
- xxv, 819 p. : col. ill. ; 24 cm.
The fundamentals of machine learning -- The machine learning landscape -- End-to-end machine learning project -- Classification -- Training models -- Support vector machines -- Decision trees -- Ensemble learning and random forests -- Dimensionality reduction -- Neural networks and deep learning -- Up and running with TensorFlow -- Introduction to artificial neural networks -- Training deep neural nets -- Distributing TensorFlow across devices and servers -- Convolutional neural networks -- Recurrent neural networks -- Autoencoders -- Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures