The 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. Continue reading
This book has been written specifically for marketers. It teaches how to use AI to improve marketing efficiency. The book includes definitions of AI terms, illustrations, case studies for all marketing components: the customer journey, marketing mix, customer lifetime value, marketplace segmentation, social media engagement, merchandising, customer service , etc.
Do you look for the most complete text book to understand A.I. tools for marketing? Below is one of the first such books.
The author provides the definition of algorithmic marketing, makes review of predictive modeling, tells about artificial intelligence for advertisements, pricing and product assortiment. So it is one of the first book that describes all marketing tools through machine learning. Continue reading