Imagine you are manager of a shopping mall. Can you arrange items that you sell in such a way that you will attract more customers? More so, can you deduce which are those unseen/unheard or seemingly absurd trends in user behavior that can possibly improve your revenue? Do you have any intelligence which can tell you that on Friday night, a single male customer buying baby nappies most probably will buy beer cans too so that on weekend he would…
Technology influences the world, isn’t it? Let’s take example of arts; aren’t artists are now making use of latest tools or instruments impacted by technology? Whether it is photography, painting, sculpture, weaving, or music, everything has got the blessings of technology. It sounds good that artists skillfully use technology and present their art more beautifully. So far so good. But what if technology substitute human artists? Is it possible? Yes, AI researchers are dreaming to make it possible, especially in…
Optimization is the process that aims to choose a best component (as to some foundation) from some arrangement of accessible options. Moreover, optimization is the final objective in problem solving situations, whether the problem belongs to computer science, mathematics, operational research or real life. Optimization techniques allows the problem to use available resources in best possible way. Hence it saves time, space and overall execution cost of the problem. In case of machine learning problems, one does not have idea…
Technology is interesting and attractive always! It inspires technocrats to work more and innovate new ideas. But what if the technology has no applications in the real world? People will ignore it then. Machine learning is buzzword nowadays and it is important to know what are its real-time applications and how it is useful for you. Machine learning has wide use cases in banking domain. Let us see what are they. It is needless to say that banks need to…
Nowadays, we keep on hearing “Deep Learning” every now and then, it has become a popular buzzword in machine learning world. Frankly speaking, it is just a term to describe certain types of neural networks and related algorithms that work on raw input data. These neural networks process input data through many layers of nonlinear transformations and then finally compute the desired output. Not only in classification and clustering, but also in feature extraction deep learning is a pretty good…