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April 30, 2017

Machine Learning

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April 30, 2017

Machine Learning


EDGE

Machine Learning

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April 30, 2017

 
 

Machine learning is a way to train computer systems to generate useful insights from data sets and apply those insights to new situations. This has the potential to revolutionize many fields, such as medical diagnoses and driving, by excising human discretion and error from the process. Although iterations of this technology have been around since the 1950s, in recent years the explosion of collected data, combined with an increase in computing power, has increased the abilities of this disruptive technology.

Machine learning describes a process by which computer scientists feed large sets of curated data to a computer in order to train it to deal with new situations. The computer “learns” by discovering complex patterns and relationships between the inputs and outputs in the dataset on which it has been trained. The relationships discovered by the computer are then applied to new data, allowing the computer to make useful predictions based on that new data.

The opportunities here are immense—this form of artificial intelligence has the potential to breed new industries and create efficiencies in existing ones.

 
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Risk Considerations

There is no assurance that a Portfolio will achieve its investment objective. Portfolios are subject to market risk, which is the possibility that the market values of securities owned by the Portfolio will decline and that the value of Portfolio shares may therefore be less than what you paid for them. Market values can change daily due to economic and other events (e.g. natural disasters, health crises, terrorism, conflicts and social unrest) that affect markets, countries, companies or governments. It is difficult to predict the timing, duration, and potential adverse effects (e.g. portfolio liquidity) of events. Accordingly, you can lose money investing in this Portfolio. Please be aware that this Portfolio may be subject to certain additional risks. In general, equities securities’ values also fluctuate in response to activities specific to a company. Investments in foreign markets entail special risks such as currency, political, economic, market and liquidity risks. The risks of investing in emerging market countries are greater than risks associated with investments in foreign developed countries. Privately placed and restricted securities may be subject to resale restrictions as well as a lack of publicly available information, which will increase their illiquidity and could adversely affect the ability to value and sell them (liquidity risk). Derivative instruments may disproportionately increase losses and have a significant impact on performance. They also may be subject to counterparty, liquidity, valuation, correlation and market risks. Illiquid securities may be more difficult to sell and value than public traded securities (liquidity risk).

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