https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1 By 1. Ali Akbar (1911087) 2. Mohammad Ahsan Saleem (1916324) 3. Faraz Ehsan (1915657) en-us 2020-04-21 09:45:32 UTC 2026-01-30 23:33:26 UTC hello@padlet.com m_ahsan_saleem https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519752714 Machine learning is a field of study in computer sciences and is seen as being a subset of artificial intelligence. Machine learning is an emerging field and information available on it is vast. The fundamental idea behind machine learning is enabling computers to act and learn in a manner that resembles a human brain and neuron function, where, in a fashion similar to the human brain the computer can learn in an autonomous manner by feeding data, observations and various other information. Firstly, machine learning is able to use algorithms to resolve data, learn based on the data, and make an estimation or prediction about the information that has been processed. Secondly, machine learning relies on algorithms that work without relying on programming that is rule based, that is without being explicitly programmed. Thus, machine learning is enabling a computer to learn as well as a human does or better. ]]> 2020-04-21 09:45:55 UTC https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519752714 m_ahsan_saleem https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519756229 Moving on, there are various ways machine learning takes place. It is generally divided into two forms, there is unsupervised learning and there is supervised learning, however, these methods can be further subdivided to into various learning patterns and techniques. To begin with, supervised machine learning is were a system is taught by example. In supervised learning a system is supplied with vast amount of data that is labelled as to what the data is, after processing this large amount of data the system is able to recognize new data that is presented to the system that matches the input data it was provided. On the other hand, in unsupervised learning, a system is tasked with categorizing the data based on identifiable similarities in the datasets.

]]> 2020-04-21 09:47:22 UTC https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519756229 m_ahsan_saleem https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519758995 Machine learning systems are in use all around us, their implementation has seen a surge with the advent of IoT devices. Machine learning can involve suggesting recommendations on an individual’s next online purchase, all the way to environment recognition for autonomous driving purpose. Google search also involves the use of machine learning algorithms to analyze human language to present search results suitable to the query that it was presented. The power of machine learning algorithms can be witnessed in voice recognition and virtual assistants such as Amazon’s Alexa, Apples Siri, etc. ]]> 2020-04-21 09:48:36 UTC https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519758995 m_ahsan_saleem https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519764717 Furthermore, industrial applications have also witnessed a steady growth in delivery services, manufacturing processes such as quality assurance, as well as medical applications for drug development. Hence machine learning can be used to identify trends and patterns, human intervention is not required, and the algorithm has the ability to continually improve. ]]> 2020-04-21 09:51:03 UTC https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519764717 m_ahsan_saleem https://padlet.com/m_ahsan_saleem/t0vt2yowtu6lofg1/wish/519766201 However, a lot of research has to be done on machine learning as it requires a large amount of data, increased computational power is needed, and the processed data has to be reviewed continually to ensure the machine learning algorithm is functioning properly.

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