What is Machine Learning?  

Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.

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Artificial Intelligence, Machine Learning and Deep Learning

It is quite common for people to use the terms artificial intelligence, machine learning and deep learning interchangeably. The image below illustrates their differences.

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Artificial Intelligence (AI) 

The Dartmouth Conferences in 1956 gave birth to the field of AI. AI is a concept more than a single technology and covers a variety of technologies, such as natural language processing (NLP), speech recognition, etc.

Machine Learning (ML)

Machine learning is a core subfield of artificial intelligence (AI) with an emphasis on creating algorithms that can learn from data without human intervention. Just like AI, ML also encompass other fields such as statistics, physics, computer science, etc.

Deep Learning

Deep learning or deep neural networks focus on a subset of ML tools and techniques. Deep learning is characterised by large neural networks trained on massive amounts of data. This technology has led to significant improvements in technology for difficult tasks such as image recognition, speech recognition and language translation over previous approaches. 

What kinds of changes does machine learning bring to the market?

Industries having access to large of amounts of data have recognised the value of machine learning technology. They have been utilising it to differentiate themselves from their competitors. 

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Machine learning assists in making recommendation and up or cross-selling, e.g. 75% of Netflix views are driven by recommendation*.


Machine learning’s modern search engines and natural language processing (NLP) technology can be used to organise massive data and documents.


Using machine learning algorithms to analyse data and identify patterns and trends for designing better routes or predicting road condition.

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Machine learning performs data analysis can assist to detect and prevent fraudulent transaction by identifying abnormal trend and patterns.

*For more details, please refer to 75 Percent of Netflix Viewing Based on Recommendations

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