Monetizing Machine Learning by Manuel Amunategui and Mehdi Roopaei is a very interesting book in the machine learning practical applications arena. In my view the book is a good match for: engineers that want to create and rapidly deploy machine learning applications served as web applications, Students of applied data science [...]

In this groundbreaking book Phil Barden reveals what decision science explains about people’s purchase behaviour, and specifically demonstrates its value to marketing. He shares the latest research on the motivations behind consumers’ choices and what happens in the human brain as buyers make their decisions. He deciphers the ‘secret codes’ of products, services and brands to [...]

Buy the Paperback version of this book, and get the Kindle eBook version included for FREE If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning [...]

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data [...]

Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic [...]

Paolo Comments:  The book by now is a bit outdated when it comes to technical methodologies and does not cover deep learning. However, this is really a good book for managers and also technical people to get started quickly and understand the concepts behind big data and data mining. If you start from here you won't [...]

Paolo Notes:  This is probably my favorite system level machine learning book for both general and technical managers. The book correctly does not focus on math or coding but rather processes and building blocks. The manager can appreciate both how to build a machine learning process and what are the process criticalities that he will have to [...]

Paolo Comments:  This book goes deeper in the concepts of Data science than other books we reviewed. If you know absolutely nothing I recommend you start from the other ones we recommend here. however, the book is still accessible and does not require math or coding. this book provides you with logic instruments that will allow [...]