Every aspect of human life has seen a profound change due to the advancement of technology. Artificial intelligence and machine learning have changed how things are done. This is in all sectors including healthcare, finance, commerce, media, telephoning, and more.
AI and machine learning are the future of computer systems. They have become the most talked about topics in essays, research papers and dissertations. By the way, professional dissertation services have a vital role in the gathering of information on AI, so you can check them if you want to learn more about this field of studies. Furthermore, several popular essays are now focused on artificial intelligence and machine learning.
These essays have formed the knowledge base for discussions around these subjects. Machine learning and artificial intelligence are among the leading careers today. It is thus worth studying them. Before we talk about why and where to study them, let's first get these concepts defined.
Artificial intelligence is the domain of computer science that creates computer systems with cognitive abilities. Artificial intelligence produces computers with the ability to reason, recognize and respond.
Machine learning is a subset of artificial intelligence. Computer systems can learn without direct programming with machine learning. With machine learning, the computer is capable of evolving. As it is being exposed to data and thus solves problems on its own.
If anything is in demand now, it is technical skills. Students are seeking to get educated in one or more tech courses. AI and machine learning are in high demand among the tech courses of choice. The reason is not far fetched, it is because the future is now AI.
There is a huge amount of investment going into artificial intelligence globally. Statistics show that the global funding for artificial intelligence startups has increased. It increased from above $1 billion to $8.5 billion. This is between 2013 and the first quarter of 2020. A high growth rate is also projected for the AI and machine learning industry. It will be over 33% of growth between 2020 and 2027.
The next phase of technological advancement is in the augmentation of human intelligence with AI. It is already a reality that many human roles are now taken over by AI. This then calls for more experts in the AI and machine learning field. Here are five important reasons why students should study machine learning and AI;
Artificial Intelligence and Machine Learning are in demand.
They have a promising career prospect
The field of AI and machine learning is versatile
Studying AI and machine learning positions you to solve society's problems
Machine learning and artificial intelligence are the skills for this dispensation
Studying artificial intelligence and machine learning earns you a decent living.
The next important question is, where can you learn AI and machine learning? There are several channels a student can learn about AI and machine learning. These subjects are available on several online course platforms. There are educational institutions like universities and colleges offering courses on them.
This list includes details on where to study artificial intelligence and machine learning:
From the comfort of your sofa, you can get to study AI and machine learning. Through online course platforms like Udemy, Coursera, and other online learning platforms. This kind of learning usually offers basic knowledge of the subjects.
Professional certifications are available for anyone interested in artificial intelligence. This can be online or offline. Notable firms and Universities have professional AI and machine learning courses. The courses are online on Udemy, Coursera, Udacity, edX, and others. Examples of these firms and universities are Google, IBM, Stanford, and Columbia University.
There are universities and colleges offering online and campus studies in AI and machine learning. Examples of these courses include:
Bachelor of Science in Artificial Intelligence,
Bachelors in Robotics,
Bachelor of Science in AI and Machine Learning,
MSc. Data Science and AI,
MSc. Artificial Intelligence and so on.
The knowledge of machine learning and artificial intelligence is greatly required in the emerging industries of today. There is wide adoption of AI and machine learning and thus it is rapidly cutting across many niches. The following are 7 examples of professionals that require AI and machine learning:
Data Scientist
Big Data Engineer/Architect
Software Architect
Machine Learning Engineer
Business Intelligence Developer
Robotics Engineer
Natural Language Processing(NLP) Engineer
Studying machine learning and artificial intelligence is important. These subjects are the future of AI and computer systems. Students can take advantage of the online space to learn or take up on-campus studies. Some universities and colleges offer both undergraduate and postgraduate courses in AI and machine learning globally.
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