|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Michael Pawlus , Rodger DevinePublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781788996839ISBN 10: 1788996836 Pages: 330 Publication Date: 24 April 2020 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Machine Learning Basics Setting Up R for Deep Learning Artificial Neural Networks Convolutional Neural Networks for Image Recognition Multilayer Perceptron Neural Networks for Signal Detection Neural Collaborative Filtering Using Embeddings Deep Learning for Natural Language Processing Long Short-Term Memory Networks for Stock Forecast Generative Adversarial Networks for Face Generation Reinforcement Learning for gaming Deep Q Learning for Maze SolvingReviewsAuthor InformationMichael Pawlus is a data scientist at The Ohio State University where he is currently part of the team building of the data science infrastructure for the Advancement department while also leading the implementation of innovative projects there. Prior to this, Michael was a data scientist at the University of Southern California. In addition to this work, Michael has chaired data science education conferences, published articles on the role of data science within fundraising and currently serves on committees where he is focused on providing a wider variety of educational offerings as well as increasing the diversity of content creators in this space. Michael holds degrees from Grand Valley State University and the University of Sheffield. Rodger Devine is the Associate Dean of External Affairs for Strategy and Innovation at the USC Dornsife College of Letters, Arts, and Sciences. Rodger’s portfolio includes advancement operations, BI, leadership annual giving, program innovation, prospect development, and strategic information management. Prior to USC, Rodger served as the Director of Information, Analytics, and Annual Giving at the Michigan Ross School of Business. Rodger brings nearly 20 years of experience in software engineering, IT operations, BI, project management, organizational development, and leadership. Rodger completed his Masters in data science at the University of Michigan and is a doctoral student in the OCL program at the USC Rossier School of Education. Tab Content 6Author Website:Countries AvailableAll regions |