Machine Learning

Machine Learning

There are several keywords being used quite frequently in tech world like, Big data, Machine Learning, Information Discovery, Data Mining etc. Although Machine Learning is being practiced for a long time it has been one of the top buzz words in the tech industry in past few years.

Since data is at the center of all technologies, Machine learning is being used by scholars, enterprises of all domains. So such keywords are being used in different domains in different way but we can group them under the umbrella of Artificial Intelligence. 

Abundance of Data,

Data is being collected from everywhere for example, social network data, news articles, purchase data, consumer response data in various field, health related data, similarly various device generated data is being collected in large quantity.

A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. -- Tom Mitchell

Machine Learning is Everywhere

Document classification

Document classification has been one of the widely used application of Machine learning  for quite some time now. Spam detection in emails has been prominent in the email service for quite a long time.  Classification of online information contained in blogs, news articles etc. and  information extraction is also an important application of Machine learning.

Stock market prediction

Although the stock market prices are said to be highly un-predictive in nature, but with the right approach and use of proper features selection has enabled various firms to leverage machine learning technique to make useful prediction of stock market prices.

Character recognition

Character recognition is another important application of Machine learning. Now the Optical character recognition is sophisticated enough to correctly identify the wide range of printed and handwritten characters which has been very useful in day-to-day life.

SNS recommendation

Similarly, recommendation systems in social networks, like Linkedin, Facebook are amazing application of Machine Learning. In social networks use of machine learning is widespread for recommending related contents to the users. Providing the relevant feed to the users is one of the most important aspects of social networks.

Robotics

Robotics is another field where machine learning is widely used which involves various decision making and computer vision. Imitation learning techniques have been very important part of robotics. Machine learning has made robotics an integral part of various domains like medicine, Transportation, and manufacturing industry.