BCA with Artificial Intelligence and Machine Learning (AIML)
It’s an exciting time in the world of eLearning. Technology is constantly evolving and adapting to boost everyday efficiency and make our lives easier. Modern tools give us the power to connect from around the globe and bridge gaps as soon as they appear. One such advancement is the rise of Machine Learningand Artificial Intelligence.
What Is Machine Learning And Artificial Intelligence (AI)?
Before we dive into the forecast of Machine Learning and Artificial Intelligence (AI) in eLearning, let’s cover the basics of these tech-based approaches. First things first: Machine Learning is a sub-division of Artificial Intelligence. It involves algorithms that predict possible outcomes based on user data. The system identifies certain patterns and trends, then learns from the data in order to provide greater personalization. Every piece of new information that the program receives makes it more intuitive. The entire process takes place autonomously, from extracting and evaluating the data sets from the Learning Management System to predicting what online learners need based on their past performance.
Today, there are two different types of Machine Learning frameworks: proprietary and open source. Both fall into the category of deep learning software. There are also various tools or hardware involved, ranging from tensor processing units developed by Google to vision processors that enable machine vision operations. In addition, you can already find a vast assortment of Machine Learning libraries, complete with algorithms that support specific programming languages.
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