Introduction to Machine Learning

Machine Learning (ML) is a subfield of Artificial Intelligence (AI). Types of Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning. Machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis in order to output values that fall within a specific range.

Machine Learning (ML) is a subfield of Artificial Intelligence (AI). Types of Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning. Machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis in order to output values that fall within a specific range.

We have seen Machine Learning is the most in-demand technology in today’s market. The reason for this might be the high amount of data production by applications, the increase of computation power in the past few years and the development of better algorithms. The applications range from self-driving cars to predicting deadly diseases.

So what exactly is “machine learning” ?

Training Machines

“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, Carnegie Mellon University

In simple terms if you want to predict something or do some task, you can do it through machine learning algorithms by providing past data. Based on its outcome its performance is decided. The performance keeps getting better as it’s predicted data is also updated as history.

Some basic examples where ML is used.

• Face detection
• Medical diagnoses
• Financial sectors
• Car parking

Interesting, isn’t ? But also some examples in above seems similar to Artificial Intelligence(AI). For Example, face detection or speech recognition. Why so?

As stated in image above Machine learning is a subset of Artificial Intelligence. Moreover in initial time image processing, speech recognition was Artificial intelligence, but now when we are clear that it is just matter of data, we state it is a machine learning process.

Types of Machine Learning

Machine Learning can be categorized as :

1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning

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