Difference between AI and Machine Learning in UK
Recognitions
The importance of Artificial Intelligence and Machine Learning courses in UK has been increasing as a huge number of companies are using these two technologies to improve their products and services, enhance their decision-making process, and evaluate their business models. Artificial Intelligence and Machine Learning degree in UK are the two main courses that have been emerged a rapid growth all over the world. GoUK has listed the difference between these two closely linked technologies.
If a candidate is interested in Masters in artificial intelligence or Masters in Machine Learning in UK, but if you are not sure about your choice of course, then GoUK will go through the most relevant facts for international students, how these topics get overlapped, what makes them unique, career they lead to, and skills required for each course in UK.
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What is Masters in Artificial Intelligence in UK?
Artificial Intelligence courses in UK prepare specialists who create intelligent machines and systems. Those machines can perform tasks that would normally require human intelligence, like playing games or understanding natural language. In simple terms, artificial intelligence masters in UK increases the ability of the students to develop a system that replicates human intelligence.
Such artificial intelligence systems have three main qualities: intelligence, intentionality, and adaptability. These qualities give AI systems, the ability to make decisions that traditionally require a human level of experience and expertise.
Some of the popular examples of Artificial Intelligence (AI) system includes playing chess with computer or self-driving cars. They rely on neural networks, natural language processing, and deep learning to analyze large amounts of data, find their patterns, make predictions and decisions based on relevant information.
What is Masters in Machine Learning in UK?
Machine Learning course in UK teach students how to use algorithms and statistical models to create computer systems. These systems use data and self-generated feedback (trial and error) to perform tasks without receiving instructions from programmers. These computers can act like humans, improve their learning skills as they encounter additional data.
The machine learning technology can be used for all kinds of purposes, from powering search engines to diagnosing medical conditions. The most popular example of a Machine Learning (ML) system is the picture recognition software used by companies like Google or Apple. The system analyses the elements inside the pictures and groups them in different categories (e.g., location, subject, color).
Difference between AI and Machine Learning
The main difference between Artificial Intelligence and Machine Learning degree is that AI includes all methods, systems, and robots performing intelligent actions. Machine Learning focuses only on the AI methods and applications that change their decision patterns based on the data.
In short, machine learning is an application of artificial intelligence. GoUK education consultant has mainly focused on the purpose, goals, and scope of each field:
TERMS
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MACHINE LEARNING DEGREE
|
AI DEGREE
|
---|---|---|
Goal | To create computer systems that can continually learn from data, allowing them to perform a task and give an accurate result. | To create smart, human-like computer systems that can solve complex and serious problems. |
Purpose | A type of AI that allows computers or machines to automatically learn from data without being specifically programmed to. | AI is a technology that allows computers or machines to emulate human behavior. |
Scope | ML is narrower in scope and it is applied to specific tasks. | AI has a broad scope and can be applied to wide variety of tasks. |
However, many advanced AI systems use some of the components of machine learning.
Difference in Skills
There are several similarities and differences between AI and Machine Learning. There are some common skills that are required to get into AI and Machine Learning industry. Some of the skills are industrial specifics while some are transferable skills like programming, communication, teamwork, data modelling and data analytics.
Skills required for Machine Learning
Algorithms : Algorithm is the heart of machine learning. Algorithm is set of instructions that are followed by computers. It is essential to understand, how does the system work and how to create them.
Independent learning : The machine learning field is developing and changing at a rapid pace. Being able to keep up with and understand these changes are essential.
Distributed computing : Distributed computing uses multiple computers to perform a specific tasks and complete the functionalities. Systems like Hadoop and Spark are worthwhile known.
Skills required for Artificial Intelligence
Applied mathematics : Advanced maths is the heart of AI projects. Before starting the project, it is necessary to learn and gain knowledge in linear algebra, probability, and calculus.
Python : The Python programming language is a relatively simple way to construct AI models.
Creativity : Candidate must develop the skills to creatively approach the problems. Creative problem solving is one of the huge requirement in the AI world and that skill is required by most of the employers in the industry.
Difference in Career:
According to World Economic Forum report, Artificial Intelligence can create almost 58 million jobs in UK. Many employees look for a new job once automation gets some momentum. Masters in Artificial Intelligence in UK have a heavy competition among the students. Artificial Intelligence Jobs is one of the highly paid degree in UK:
Artificial intelligence jobs
Robotics engineer : This role focuses on the design and building of robots to perform complex tasks which humans cannot do.
AI programmer : An AI programmer works to develop software for AI applications. The role of AI programmer is focused on the software development perspective.
Machine learning jobs
Machine learning engineer : The elements of software engineering and data science are overlapped. Machine learning engineers create programs and algorithms that help computers to learn automatically.
NLP scientist : Natural language processing (NLP) is the technology used to help computers understand human language. NLP scientists create algorithms to understand human language.
How do AI and Machine Learning get overlap?
Each course in UK has its own applications, subsets, and specializations, making them very different fields. Our UK education consultant has outlined p0some of the ways in which machine learning, and AI gets overlapped.
Data-driven : Each of these courses relies on analyzing huge amounts of data. If the technologies have more information, then they are ready to produce more effective results. It often takes more processing power to manage such large data sets.
Insights : AI, and machine learning can be used to produce detailed insights in particular areas. By examining data, patterns can be identified, highlight trends, provide valuable and actionable outcomes.
Predictive models : These technologies can also help to create predictions and forecasts based on existing data.
Difference in average salaries
Average salary for AI and machine learning courses in UK tend to be reasonably high for talented and skilled professionals. Our UK education consultant has picked out some of the relevant data below.
Artificial intelligence salary
According to AI Jobs, the annual salary for professionals with skills in AI was £60,000 in the six months after completion of their degree. Based on the survey, UK estimates that the average base pay for the same skill set with highly experienced professional is around £100,000 per year.
Machine learning salary
According to PayScale in UK, the average machine learning engineer salary is around £50,000 per year. Some of the MNCs provide £56,000 per year. Other than UK, salary for machine learning professionals gain £100,000 per year.
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