And a more advanced book, by the same authors: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2009).

Is your window attracting effectively? How much your goods are easily available to a shopper? If you are an open-minded owner of a little grocery, or if you are a visual merchandiser of a clothing store, you need to know that these are typical examples of questions which AI can help to answer. Not only retailers adopt AI solution to improve customer experience but also to directly increase their business. In this way, a proper question can be: how much a particular store convert the outdoor footfall?

The power behind self-driving cars, real-time facial recognition, and intelligent robots is called machine learning,a subfield of artificial intelligence (AI).The first formal definition of AI came from Arthur Samuel in 1959: "A field of study that gives computers the ability to learn without being explicitly programmed."They've Currently, machine learning not only enablescomputers to park our cars and win at Jeopardy, it also allows them to beat humans at chess and Go, and to learn for itself how to play new games without any instruction.Although these are all very flashy applications of this technology, the business applicability has so far been limited. Nevertheless, understanding how machine learning algorithms work can be very useful in a business context. This can also lead to potential applications in sales, marketing, finance, and HR that can drive better decisions and give you a competitive edge.

The next evolution in cloud computing is a smarter application not in the cloud. As the cloud has continued to evolve, the applications that utilize it have had more and more capabilities of the cloud. This presentation will show how to push logic and machine learning from the cloud to an edge application. Afterward, creating edge applications which utilize the intelligence of the cloud should become effortless.