This study proposes a machine learning approach to identifying emerging technologies at early stages using multiple patent indicators that can be defined immediately after the relevant patents are issued. The recent advances in machine learning have had a broad range of applications in different scientific disciplines.
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It is seen as a subset of artificial intelligence.
Machine learning emerging technology. It remains to be seen how much of an effect this technology will have in our future. While we have already seen the benefits machine learning can have on our everyday lives there is still much to be researched and discovered as far as the. Get the big picture of how machine learning works its relationship to artificial intelligence and where companies are putting it to work. Where business and experience meet emerging technology. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities automated industry and emerging businesses. For this first a total of 18 input and 3 output indicators are extracted from the united states patent and trademark office database. Where business and experience meet emerging technology. Professor chris geczy of the wharton school has designed this course to help you navigate the complex world of insurance and real estate tech and understand how fintech plays a role in the future of the industry. For the connected consumer machine learning is now a key enabler from on demand translation services to weather forecasting to guessing what users want based on where they are and what theyve been doing. Emerging technology machine learning is still a relatively new addition to the overarching picture of ai. In this course youll learn about the emerging technologies in artificial intelligence and machine learning that are utilized in insurtech and real estate tech. Machine learning ml is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions relying on patterns and inference instead.
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