Hands-On Machine Learning With Scikit-Learn Keras And Tensorflow 3E: Concepts Tools Techniques To Build Intelligent Systems Aurelien Geron O&Apos

Through A Recent Series Of Breakthroughs Deep Learning Has Boosted The Entire Field Machine Now Even Programmers Who Know Close To Nothing About This Technology Can Use Simple Efficient Tools Implement Programs Capable From Data Best-Selling Book Uses Concrete Examples Minimal Theory And Production-Ready Python Frameworks--Scikit-Learn Keras Tensorflow--To Help You Gain An Intuitive Understanding Concepts For Building Intelligent Systems With Updated Third Edition Author Aurelien Geron Explores Range Techniques Starting Linear Regression Progressing Neural Networks Numerous Code Exercises Throughout Apply What You\ Ve Learned Programming Experience Is All Need Get Started Scikit-Learn Track Example Project End Explore Several Models Including Support Vector Machines Decision Trees Random Forests Ensemble Methods Exploit Unsupervised Such As Dimensionality Reduction Clustering Anomaly Detection Dive Into Net Architectures Convolutional Nets Recurrent Generative Adversarial Transformers Tensorflow Build Train Computer Vision Natural Language Processing Reinforcement Using Multiple Gpus Deploy Them At Scale Google\ S Vertex Ai Σελίδες: 850