Eric Siegel has a book devoted to getting the best out of AI; specifically its prediction-related branch, machine learning. He gives lots of practical advice on machine learning development. How then to get the best out of your algorithms? Practical Advice On Machine Learning Deployment Siegel gives a way of thinking about machine learning development….
Category: Machine Learning
Random Forests and Machine Learning
Scott Hartshorn has some useful accessible advice on all things analytics. Today I’ll look at his advice on random forests and machine learning. Machine Learning He starts by giving us a clear intuitive, rather than a formal, view of what machine learning (ML) is. He says that at their heart a lot of different ML…
A Framework For AI In Marketing
At the risk of stating the obvious artificial intelligence (AI) is a subject of great interest in marketing. Indeed, beyond marketing too at the moment. There is a lot of discussion of how companies can take advantage of the opportunities (and avoid the downsides). Raj Venkatesan and Jim Lecinski have a new book that sets…
Programmatic Media Buying And Algorithmic Purchasing
This post looks at art and science — communications and analysis — in the use of data. I also discuss programmatic Media Buying And Algorithmic Purchasing. Art And Science in Marketing Analytics Kevin Hartman, the Director of Analytics for Google, has a pleasant readable book on digital marketing analytics. (Which quite frankly you’d expect him…
Machine Learning And Retailing
Joseph Ryoo, Xin/Shane Wang, Praveen Kopalle and I have an article available now in the Journal of Retailing. This focuses on machine learning and retailing. It is a major question how new technology will change retail. Our work therefore tries to get a grip on this. Reviewing Machine Learning And Retailing In The Literature We…
Predicting What Image Works For An Individual
One of the central challenges of marketing is that people differ. Marketers would love to create marketing communications that work for everyone. While some communications do pretty well nothing has universal appeal. Some images work fantastically for some people but turn others off. How can we predict who will like what? What helps us in…
How Might AI Change Business?
In the excellent Prediction Machines Agrawal, Gans and Goldfarb take an economics-based view of the changes that will be brought on by Artificial Intelligence (AI). Essentially some basic economic principles can help us see what will change. Given this: How Might AI Change Business? AI Prediction Is Becoming Cheaper The argument is that AI can…
Showing A Problem Does Not Equal Demonstrating A Worsening Problem
Cathy O’Neil has a great book on big data, Weapons of Math Destruction, but one with a fundamental flaw. The flawed claim is made in the book’s subtitle and permeates throughout the book. The subtitle is: “How Big Data Increases Inequality and Threatens Democracy”. I could find no significant evidence of big data increasing inequality in the book. She shows…
