At Ruskin Felix Consulting, we make detailed and comprehensive industry and company research reports that analyze the companies and industries externally and internally and estimate the future value and potential of the company/industry. By focusing on both the domestic and international markets, we assess the viability of investing into such industries and build a decision-making framework for our clients. Detailed competitor analysis and overview of major players help our clients take an overall view on the growth potential of the industry.
Through extensive primary research and our in-built models of valuation, we also value the company potential and give investor related advice to our clients.
Machine learning refers to a computer system’s ability not to obey specific instructions for the software, but to rely on knowledge to enhance its performance. The key is that machine learning automatically discovers data patterns, and they can be used for prediction once the patterns are discovered. For example, the system will learn patterns that can be used to predict credit card fraud if the machine learning system is provided with a database of credit card transaction information such as transaction time, vendor, location, price, and whether the transaction is legitimate. The more data processed from transactions, the more reliable the prediction would be.
There are a very large variety of applications of machine learning. It has the potential to enhance almost all output for those activities that produce huge amounts of data. These activities include revenue projections, inventory control, oil and gas exploration, and public health, in addition to fraud detection. Some popular examples of Machine learning are Netflix using ML to constantly improve and provide personalized recommendations. Gmail now has a smart response feature that suggests small short answers to any email you have received based on the email material.
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