When people use the term deep learning, they refer to deep artificial neural networks.
The ability to understand what machine learning models do and how they make decisions is important, otherwise, the system may be deceived, undermined, or fail in certain tasks that humans perform.Working with Machine Learning:Machine learning models need a lot of data to work well.
Machine learning begins with data such as numbers, photos, text, bank transactions, images of people, baked goods, repair records, time-series data, sensors, and sales reports.
Typical machine learning applications we see include web search results, real-time ads on websites and mobile devices, email spam filtering, network break-in detection, pattern and image detection, etc.While machine learning promotes technologies that help workers and open up new opportunities for companies, there are some things that leaders should know about machine learning and its limitations.
This technology presents both opportunities and challenges and raises social, legal, and ethical questions.
The impact of this technology on other applications must be considered and measures are taken to ensure that the applications are of benefit to society.Netflix, for example, recently announced a $1 million prize for the first person to sharpen its ML algorithm and increase its accuracy by 10%.