While the text is biased against complex equations, a mathematical background is needed for advanced topics
2013
Key concepts
Scholarcy highlights
- This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them
- While the text is biased against complex equations, a mathematical background is needed for advanced topics
- Dr Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development
- He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D
- “There are a wide variety of books available on predictive analytics and data modeling around the web…we’ve carefully selected the following 10 books, based on relevance, popularity, online ratings, and their ability to add value to your business
Need more features? Save interactive summary cards to your Scholarcy Library.