Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. Artificial Intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, Learning, Planning, Problem-solving.
Artificial intelligence (AI, also Machine Intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.
Graduate /PG with computer science Or Mathematical science. To be able work with various programming technologies such Java, Python, Scala and Database concepts is very important. Developer should learn these programming languages to develop software system that can take data from data store and use it for machine learning. Skills of formatting data formats, process the data to make it compatible with the machine learning algorithm is also a prerequisite for machine learning.
Basic Database skills: You should have prior knowledge to work with relational and NoSQL databases. In your machine learning program you will have to use data sets from many different data source at a time. Programmers usually read the data from different data source and then convert it in a format that can be used by machine learning framework.
Basic Mathematics skills: Linear algebra, Probability theory,Calculus,Calculus of variations,Graph theory,Statistics and Probability, Differential equations, Mathematical statistics, Optimization, Regression and Time Series, Probability Distributions, Hypothesis Testing, Bayesian Modeling, Fitting of a distribution
Business Objective: John is the Customer Services and Relations head for a Multi brand retail store. He analyzed a couple of reports and got worried about losing his customers overtime. He thought over the different customer segments presented in the report and concluded that not all customers were worth retention. He identified the loyal and profitable customer segment and planned to develop a churn model to gauge the propensity of attrition of this customer segment. He had plans to revise promotions and schemes for these customers based on the significant factors contributing to their attrition. John will use Churn model primarily to identify the customers next in line to attrite. He will then plan the promotions and strategies to retain them.
Business Problem: Mr. A is a strategic marketing head of a Multi product Insurance Company. He has a large database of general insurance (GI) customers. He wants to cross sell health insurance products to his general insurance customers. The limited budget and low responses of the healthcare campaigns force him to think of an approach for targeted marketing. He needs to identify and capture the characteristics of customers who buy health insurance. The implementation of the same will involve design and development of a predictive model, selection of the population as model input and deployment and refresh process for regular use.
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