Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /: expert techniques to implement popular machine learning algorithms and fine-tune your models. (2018)

• Record Type: Book
• Further Information: Note: Giuseppe Bonaccorso.
• Authors: Bonaccorso, Giuseppe
• Contents: Table of ContentsMachine Learning Model Fundamentals Introduction to Semi-Supervised Learning Graph-based Semi-Supervised Learning Bayesian Networks and Hidden Markov Models EM algorithm and applications Hebbian Learning Advanced Clustering and Feature Extraction Ensemble Learning Neural Networks for Machine Learning Advanced Neural Models Auto-Encoders Generative Adversarial Networks Deep Belief NetworksIntroduction to Reinforcement Learning Policy estimation algorithms.
• Publisher Details: Birmingham, UK : Packt Publishing
• Publication Date: 2018
• Extent: 1 online resource (1 volume), illustrations
• Subjects: 006.31; Computers -- Intelligence (AI) & Semantics; Machine learning; Computer algorithms; Computer algorithms; Machine learning; Computers -- Machine Theory; Mathematical theory of computation; Artificial intelligence; Machine learning; Information architecture; Computers -- Data Modeling & Design; Database design & theory; Electronic books
• Languages: English
• ISBNs: 9781788625906; 1788625900
• Related ISBNs: 9781788621113
• Notes: Note: Description based on online resource; title from title page (Safari, viewed June 29, 2018).
• 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.