|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Oswald CampesatoPublisher: Mercury Learning & Information Imprint: Mercury Learning & Information Weight: 1.220kg ISBN: 9781683926184ISBN 10: 1683926188 Pages: 754 Publication Date: 11 June 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1: Introduction to NumPy 2: Introduction to Pandas 3: NLP Concepts (I) 4: NLP Concepts (II) 5. Algorithms and Toolkits (I) 6. Algorithms and Toolkits (II) 7: Introduction to Machine Learning 8: Classifiers in Machine Learning 9: NLP Applications 10: NLP and TF2 / Keras 11: Transformer, BERT, and GPT Appendices A: Data and Statistics B: Introduction to Python C: Introduction to Regular Expressions D: Introduction to Keras E: Introduction to TF2 F: Data Visualization IndexReviewsAuthor InformationCampesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information). Tab Content 6Author Website:Countries AvailableAll regions |