Artificial Intelligence (AI) & Machine Learning (ML)

Artificial Intelligence (AI) & Machine Learning (ML)

Artificial Intelligence (AI) & Machine Learning (ML)

August 1, 2022

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Author:

Khemarak Leakna


What is Artificial Intelligence (AI)? 

Artificial intelligence is a branch of computer science that deals with machine systems' ability to demonstrate behaviors linked to human intelligence. AI research has been clarified as the field of study of an intelligent agent, which refers to any system that understands its environment and takes imitating actions. With AI many hectic tasks will be removed.  

 

What Student will learn in Artificial Intelligence?

In joining this field students should know programming languages and advanced mathematics (statistics, linear algebra, calculus). Students will delve into machine learning, neural network technology, and deep learning. Besides that, students will solve complex problems and be able to identify which Machine Learning model to choose for each type of problem.

Additionally, students will learn how to remove and point out useful features for data representation - a few of the most important machine learning algorithms - and performance evaluation of that machine learning algorithms.

 

Why students should choose AI?

Because artificial intelligence is at the heart of today’s technologies that we use, including smart devices and voice assistants such as Siri on Apple devices. Thus, becoming an expert in AI will enable you to challenge current ways of working. Additionally, there are several reasons to study AI:

  • Be at the forefront of the future technology
  • Enhance employability
  • Big bright career opportunities
  • AI is the skill of the century

 

What is Machine Learning (ML)?

Machine learning is seen as a part of artificial intelligence. It allows computers to learn and develop on their own without having to be directly programmed. Machine learning algorithms build a model based on sample data, known as training data to make predictions or decisions without being explicitly programmed to do so.

 

What students will learn in Machine Learning? 

Students will learn how to build self-learning computer systems by combining algorithms and statistic models. By studying machine learning, students will test the limit of how much they can improve their understanding, awareness, and action of the computer systems.

 

Why students should learn ML? 

Because machine learning algorithms have been powering the world around us, such as product recommendations on e-commerce apps or content used by social media such as Facebook, LinkedIn, Instagram, and Twitter on users’ new feeds. These are just a few examples, there are a lot more that machine learning can do. Here are some reasons why choosing ML:

  • ML will bring you a better life career
  • You will get better salaries
  • Machine learning is linked directly to Data Science
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