Machine Learning

Nowadays, people are not surprised that when they type in their names several times, next time when you start typing, your name is already in the recommendation list. But we have wondered if our cell phone, computer or even microwave around can actually learn and grow as we do. Siri is a great example for our phone interact with us, learn about our preference and interact accordingly with us. The world is moving towards a more automatic world with more and more convenient technology. Machine learning is a subfield of computer science that is derived from pattern recognition and computational learning theory that "gives computers the ability to learn without being explicitly programmed".(Arthur Samuel, 1959). So computer learn from previous computations to produce reliable and repeatable decisions and results.

The result of machine learning is actually everywhere in our daily life. Here are a few examples of machine learning applications that we are so familiar with:

1. The self-driving car. Self-driving car is the essence of machine learning for its program has system to analyse the condition of the road and learn from the drivers preferences and adjust according to the distance or other aspects on the road.

2.Online recommendation of  Amazon or Netflix. Those online stores and website have system to analyze your preference based on the past consumption history or movie watched to guess your preferences and recommend accordingly.

3.Fraud detection. This is one of the more obvious, important uses in our world today. We depend on our computer to analyze whether it is safe or not to react.

Growing interest in machine learning is because of things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful data storage. All of these things mean it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results – even on a very large scale. And thus high-value predictions can guide better decisions and smart actions in real time without human intervention.



Photo Reference:
1.https://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer
2.https://www.springboard.com/blog/machine-learning-online-courses/


Writing Reference:
1.http://www.huffingtonpost.com/shelly-palmer/can-machines-really-learn_b_6872428.html?
2.https://en.wikipedia.org/wiki/Machine_learning