Author: haroonkhan
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Artificial neural network
Artificial neural network (ANN) is formed using a large number of elements known as neurons, where each neuron takes simple decisions and passes those decisions to other neurons. All the neurons are interconnected to each other, where the interconnection between these neurons is known as network function. A shallow neural network has three layers: input…
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Machine learning algorithms
As the machine learning is growing day by day, many authors are using various algorithms of machine learning to solve complex problems. Machine learning is the current research field in which a lot of research is being conducted. Figure 1.6 Some of them are briefly explained.
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Reinforcement learning
In reinforcement learning the agent has the ability to interact with the environment and find a better output. For this, it follows hit and trail formulae. This learning is used when there is no proper way to perform a task, but model needs to follow some strict rules to perform its duty. In this type…
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Unsupervised learning
In this type of machine learning there is no need to supervise the model, instead the work is initiated on its own information, where it mainly deals with unlabelled data. Unsupervised learning algorithm gives better output while performing the complex tasks compared with supervised learning. It is more unpredictable and also it helps to find the…
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Supervised learning
As the name specifies, supervised learning means that the presence of supervisor is required to perform the task. Generally, the machine is trained by using the collected data which is well labelled and is known as labelled data, so that supervised learning algorithm can analyse the training data and give correct outcome using labelled data. The…
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Machine learning
Machine learning is a multidisciplinary field which is a combination of computer science and statistics, where it is mostly used for analysis and classification and performs the tasks that generally humans do. For that, we need to train the computer to solve real life problems with utmost accuracy. Machine learning can be used in different…
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Introduction
Agriculture is the backbone of our economy, as the requirement of foodstuff due to rise in population is constantly increasing. There is a huge requirement of advancements in the agriculture sector such as to make precise calculations regarding yield production, using best and latest farming equipment, in order to meet the increasing needs of crop.…
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What specializations can a mechanical engineer pursue?
Some specializations that a mechanical engineer can pursue are:
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Do mechanical engineers need to know programming?
Programming knowledge is not mandatory for a mechanical engineer although roles that involve complex numerical analysis require knowledge in MATLAB.
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Do mechanical engineers work in an office?
Yes, mechanical engineers work in an office with very little travel. They occasionally travel to meet customers or to do fieldwork.