Book: Machine Learning for Marketers – a comprehensive guide

Machine learning for marketers guideThe reality is that Machine Learning as a concept is as old as computing itself. As early as 1950, Alan Turing was asking the question, “Can computers think?” In 1969, Arthur Samuel helped define machine learning specifically by stating, “[Machine Learning is the] field of study that gives computers the ability to learn without being explicitly programmed.”

While the concept has been around for more than half a century, we have finally reached a point in technological advancement where hardware and software can actually help developers match their aspirations with tangible reality. This development has led to not only the rise of machine learning and AI advancements, but, more importantly, also advancements inexpensive enough for anyone to use.

Language: English
Publisher: iPullRank
Year:  2017
Pages: 91 pages


  1. Introduction
  2. The Basics of Machine Learning
  3. Supervised vs Unsupervised Learning and Other Essential Jargon
  4. What Marketers can Accomplish with Machine Learning
  5. Successful Machine Learning Use Cases
  6. How Machine Learning Guides SEO
  7. Chatbots: The Machine Learning you are Already Interacting with
  8. How to Set Up a Chatbot
  9. How Marketers Can Get Started with Machine Learning
  10. Most Effective Machine Learning Models
  11. How to Deploy Models Online
  12. How Data Scientists Take Modeling to the Next Level
  13. Common Problems with Machine Learning
  14. Machine Learning Quick Start


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