Ĭomputers nowadays are made to learn to improve autonomously with experience there by impacting tremendously in problem solving. To solve these complex problems with huge amount of data, a deep learning technique is essential to provide a solution. However, the volume of data produced today are huge. Nowadays, artificial intelligence provides the capabilities of processing extensively complex jobs with high accuracy and processing speed. The addition of MATLAB to the university curriculum has resulted in the overwhelming increases in the demand of graduate students having machine learning skills. The students now utilize the benefits of MATLAB in creating new machine learning models to train and re-train the existing models to improve performance and accuracy of the output results. This is due to the fact that MATLAB provides huge computing resources and toolboxes for the students to create and implement their innovative algorithms and approaches. Teaching machine learning using MATLAB to university students is very essential. MATLAB is a tool for implementing machine learning and analytics models. So, when a predictive model is inputed with data it produces a prediction based on the data that trained the model. To simplify the concept clearly, a predictive algorithm can generate a predict model. A trained model with an inputed data will produce an output. A trained machine learning algorithm with data input produces an output that is called a machine learning model. As training data is inputed to the algorithm, a more accurate and precise models can be produced based on the inputed data. Machine learning employ the use of various algorithms that iteratively learn from data to examine, enhance, improve and predict outcomes. However, machine learning is a complex process that requires high computation, and this is possible using MATLAB. It allows a system to learn from data in contrast to explicit programming techniques. Machine learning is part of an artificial intelligence (AI). And of course, this helps to easily and precisely predict the future. As the volume of data is continuously increasing, the solutions provided by the machine learning models are continuously updated. By the way of selecting the correct machine learning models for the university curriculum, the students will have the ability to continually predict the changes in the problem solving technique so that they can precisely predict the future. The institutions of higher learning are looking for innovative ways to leverage the use of MATLAB to help the students to have a better understanding of machine learning and its applications in different fields. Machine learning has gain tremendous attention in the research community and institutions of higher learning. Sani Abba, Department of Mathematical Sciences (Computer Science), Abubakar Tafawa Balewa University (Federal University of Technology), Nigeria. Teaching Machine Learning using MATLAB in the Undergraduate and Graduate Student's Curriculum
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |