The app uses machine learning, which is to say that its algorithm benefits from real-world experience.
This experiment could become one of Klick's first forays into machine learning, which requires a significant volume of data.
To test for bias, Zest relies again on machine learning, which the system uses to test its own results.
Few areas of society are uninfluenced by big data and machine learning, which are the latest incarnation of econometrics.
Now, nearly every product advertises machine learning, which has led to confusion between what's real and what's marketing.
This chapter gives an account of machine learning, which is the subfield of artificial intelligence (AI) concerned with intelligent systems that can learn.
OpenAI's launch announcement was timed to coincide with this year's Neural Information Processing Systems conference: the main academic outlet for scientific advances in machine learning, which I chaired.
Use by nonexperts creates even more demand for easier-to-use systems and uncovers new applications of machine learning, which inspires further research and development by experts.
Its main components include robotics, which helps eliminate human error, and machine learning, which is meant to help find more advanced patterns that could lead to scientific breakthroughs.
Part of that push to make its services smarter involves rethinking the way it's employing machine learning, which enables computers to learn on their own from data.
They highlight major hurdles in the field, such as the required data characteristics for applying machine learning, which will need to be solved as machine learning matures.
