Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling by Jacques Savoy English | PDF | 2020 | 294 Pages | ISBN : 303053359X | 4.43 MB
This book presents methods and approaches used to identify the true author of a doubtful document or text excerpt. It provides a broad introduction to all text categorization problems (like authorship attribution, psychological traits of the author, detecting fake news, etc.) grounded in stylistic features. Specifically, machine learning models as valuable tools for verifying hypotheses or revealing significant patterns hidden in datasets are presented in detail. Stylometry is a multi-disciplinary field combining linguistics with both statistics and computer science.
Jeffrey Jackovich, Ruze Richards, "Machine Learning with AWS: Explore the power of cloud services for your machine learning and artificial intelligence projects" English | 2018 | pages: 254 | ISBN: 1789806194 | PDF | 7,5 mb
Kai Sasaki, "Hands-On Machine Learning with TensorFlow.js: A guide to building ML applications integrated with web technology using the TensorFlow.js library" English | ISBN: 1838821732 | 2019 | 296 pages | MOBI | 68 MB
Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data by Greg Foss, Paul Modderman English | September 18, 2019 | ASIN : B07Y2KT6GH, ISBN: 1492046442 | MOBI | 333 pages | 43.8 MB
Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data by Khaled El Emam, Lucy Mosquera, Richard Hoptroff English | May 19, 2020 | ASIN : B088WG8Z4Z, ISBN: 1492072745 | MOBI | 241 pages | 20.97 MB
PYTHON MACHINE LEARNING: The Ultimate Basic Guide For Beginners To Learn How To Design Types Of Automatic Production by Oliver R. Simpson English | 2019 | ASIN: B081J6N71N | 90 Pages | PDF/EPUB/AZW3/MOBi | 22.6 MB