The first uses and discussions of machine learning date back to the 1950`s and its adoption has increased dramatically in the last 10 years. Common applications of machine learning include image recognition, natural language processing, design of artificial intelligence, self-driving car technology, and Google’s web search algorithm.
Applications and Examples of Machine Learning
Machine learning is an area of study and an approach to problem solving. And there are many different applications to which machine learning methods can be applied such as.
Web search also benefits from the use of deep learning by using it to improve search results and better understand user queries. By analyzing user behavior against the query and results served, companies like Google can improve their search results and understand what the best set of results are for a given query. Search suggestions and spelling corrections are also generated by using machine learning tactics on aggregated queries of all users.
Financial market analysis
Algorithmic trading and market analysis have become mainstream uses of machine learning and artificial intelligence in the financial markets. Fund managers are now relying on deep learning algorithms to identify changes in trends and even execute trades. Funds and traders who use this automated approach make trades faster than they possibly could if they were taking a manual approach to spotting trends and making trades.
Simply put, machine learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data driven recommendations and decisions based on only the input data.