Artificial intelligence marketing and predicting consumer choice : an overview of tools and techniques /: an overview of tools and techniques. (2017)

• Record Type: Book
• Further Information: Note: Steven Struhl.
• Authors: Struhl, Steven M
• Contents: <ul style='padding-top:0;padding-left:0;list-style:none;'><ul style='padding-top:0;list-style:none;'>Chapter - 01: Who Should Read This Book and Why? Chapter - 02: Getting the Project Going; Chapter - 03: Conjoint, Discrete Choice, and Other Trade-Offs: Let's Do an Experiment; Chapter - 04: Creating the Best, Newest Thing: Discrete Choice Modelling; Chapter - 05: Conjoint Analysis and its Uses; Chapter - 06: Finishing Experiments and On to the Non-Experimental World; Chapter - 07: Machine Learning and Classifications that Grow on Trees; Chapter - 08: Remarkable Predictive Models With Bayes Nets; Chapter - 09: Artificial Intelligence, Ensembles and Neural Nets
• Edition: 1st
• Publisher Details: London : KoganPage
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 658.80028563; Marketing -- Data processing; Business intelligence -- Data processing; Consumer behavior -- Forecasting
• Languages: English
• ISBNs: 9780749479565
• Related ISBNs: 9780749479558
• Notes: Note: Description based on CIP data; item not viewed.
• 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.