I am a huge fan of recommender systems and other applications of Machine Learning. This prompted me to think about researching and reviewing code related to Machine Learning. Machine Learning is one of the many upcoming technologies.
What is Machine Learning?
According to Google, "Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.".
What are the types of Machine Learning Algorithms?
There are two main types of Machine Learning Algorithms. The first one is Supervised Learning. As the name suggests we know what we are looking for using the data provided to us. The other one is Unsupervised Learning. In Unsupervised Learning, we only receive the data and have to come up with the desired result through techniques like clustering and association.
What languages are mainly used in Machine Learning?
Machine Learning is usually done in languages like Python and R.
Where is Machine Learning used?
Machine Learning is also used in day to day applications like Social Media, Netflix, and many more. It has become a critical part of our life. Machine Learning is also used in Voice Recognition and Autopilot in cars like Tesla.
Why is Machine Learning a Buzzword?
As time moves on the data researchers are provided with increases, this results in the evolution of Machine Learning. As the amount of data rises the algorithms required for coping with this data also evolves.
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