Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.
Teaches and does Stats, ML and AI. Co-Founder and Chief Scientist https://t.co/EygMgQHg07. Former Lecturer at Harvard and Astrophysicist at Penn. Bayesian.
@HamelHusain @renegadesilicon The oldie but Goldie for ml but not Ai is Data Science for business by foster and provost from Reilly. Multiple chapters focus on decision theory rather than the modeling and I have found repeatedly in my consulting that this is where input from multiple stakeholders is needed..
Author, Product Coach | Actionable tips and resources to boost your PM career | 9+ years in Product
6. Recommended books: - Lean Analytics by @acroll and @byosko: https://t.co/mtxZuom39k - Product Analytics by Joanne Rodrigues: https://t.co/LgXMpMYPer - Data Science for Business by Foster Provost and Tom Fawcett: https://t.co/oV5CR263Lj