Machine Learning

Identify fraudulent credit card transactions.It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
Monte Carlo simulation of a stock price is random. A histogram is plotted which shows the probability distribution of the random stock prices, so as to get an estimate of how the stock price may take on different values in the future. It is also useful for comparison with current stock price as shown in the figure.
Monte carlo simulation has been performed 100 times for 200 days from the last available date in the dataset. The plot for the 100 simulations for 200 days has been shown in the adjacent figure. We can also see the current stock price and so get an idea of how the price may vary over the next 200 days Value at risk (VaR) is used to measure and quantify the level of financial risk within a firm or investment portfolio over a specific time frame. This can be estimated as part of Monte Carlo simulation as can be seen in the adjacent figure.
Our Platform allows digital advertisers to analyze the massive amount of personal data that consumers share, and offer those consumers more personalized and targeted ads for products and services they would use. It can also provide advertising companies with the ability to seamlessly run a real-time automated advertising platform.
Placing right ads at right place based on content(content Recommendations). We can extract/find specific categories from multiple and huge documents using Text Summarization. Ex: Ads related to particular products can be placed in Retail ads(websites, blogs, articles etc..).

Identify particular message as Ham/Spam from various sources(Emails, Text Document, Reviews etc…).