Python Machine Learning By Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition /: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition. (2020)

• Record Type: Book
• Further Information: Note: Yuxi (Hayden) Liu.
• Authors: Liu, Yuxi (Hayden)
• Contents: Table of ContentsGetting Started with Machine Learning and PythonBuilding a Movie Recommendation Engine with Naïve BayesRecognizing Faces with Support Vector MachinePredicting Online Ad Click-Through with Tree-Based AlgorithmsPredicting Online Ad Click-Through with Logistic RegressionScaling Up Prediction to Terabyte Click LogsPredicting Stock Prices with Regression AlgorithmsPredicting Stock Prices with Artificial Neural NetworksMining the 20 Newsgroups Dataset with Text Analysis TechniquesDiscovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic ModelingMachine Learning Best PracticesCategorizing Images of Clothing with Convolutional Neural NetworksMaking Predictions with Sequences Using Recurrent Neural NetworksMaking Decisions in Complex Environments with Reinforcement Learning.
• Edition: Third edition
• Publisher Details: Birmingham : Packt Publishing
• Publication Date: 2020
• Extent: 1 online resource (526 pages)
• Subjects: Computers -- Intelligence (AI) & Semantics; Computers -- Natural Language Processing; Computers -- Programming Languages -- Python; Programming & scripting languages: general; Artificial intelligence; Natural language & machine translation
• Languages: English
• ISBNs: 9781800203860; 1800203861
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.