Artificial Intelligence and Machine Learning are the technologies that are revolutionizing the way businesses function. They have drastically changed the ways people do their tasks. You can even ask your phone to send a message or make a call, by not even touching it.
What a revolution!!
Artificial Intelligence is considered to be the next digital frontier that has profound implications for society and business. According to Fortune Business Insights, the market size of Artificial Intelligence across the globe is expected to reach USD 202.57 billion.
A report by Grandview Research states that the annual growth rate for the global AI market would be around a whopping 40.2%. Another interesting report by Forbes states that this year will see 58 million job openings for AI and ML-related roles.
These technologies have brought about a revolution across every industry including banking, finance, investment, healthcare, media and entertainment, information technology, software product, logistics, pharmaceuticals, academics, and more.
Given a plethora of opportunities for careers in these domains, professionals can take AI and Machine learning courses in Toronto to upskill themselves and make their careers go places.
Sometimes while starting out, professionals or aspirants get confused about what to start learning with, Artificial Intelligence or Machine Learning.
This article will clear your doubt, after having an overview of these techs.
What is Artificial Intelligence?
In simplest terms, Artificial Intelligence is the process of simulating machines to show human behavior. AI-based systems are programmed to mimic human behavior and actions. AI-based systems are so designed that they can rationalize and take actions that can attain specified goals.
The main objective of AI systems is to learn, reason, and make perceptions; or simply mimic the cognitive activities of humans. It is based on the principle that a machine can be designed to mimic human behavior and execute tasks or make decisions just like humans do.
AI has already been employed in the healthcare industry where trials are made for AI systems recommending surgical procedures in the operation theatre, defining the dosage of drugs, or even diagnosing life-threatening diseases at early stages.
AI-based systems have revolutionized the investment and stock-market arena where common people have now started investing in foreign exchange and making huge profits with the help of AI-powered bots.
Why make a career in AI?
Recent years have seen massive growth in the number of AI jobs, around a whopping 32%
To fill the skill gap, there are no optimum applicants, paving your way to advance your career easily
AI professionals earn huge salaries and the average annual salary of an AI developer is USD 100,000
You can have a flexible career in this domain. This means that you can choose to work as a researcher, consultant, practitioner, or even a freelancer. Also, you can develop your own AI-powered products.
What is Machine Learning?
A subset of artificial intelligence, Machine Learning is a concept in which a computer program is able to learn and adapt to new data with no human intervention. It is a field of Artificial Intelligence that keeps computer algorithms updated irrespective of changes in the economy.
A source code or algorithm is developed into a computer that enables a system to identify data and make predictions around the identified data. This code builds a model that is capable of identifying the data and making recommendations regarding the same. Machine learning also finds implications in a variety of industries including advertising, investing, organizing news, lending, fraud detection, recommendation engine, speech recognition, recommendation engines (as in Netflix or eCommerce platforms), and more.
If you love working with data, automation, and algorithms, you can choose to make a career in Machine Learning. As a Machine Learning professional, you will be required to analyze huge data sets and implement and automate tasks related to the processing of data.
Why make a career in Machine Learning?
According to the World Economic Forum, there are going to be around 97 million new job openings in the fields of AI, ML, and automation. This means you have a plethora of opportunities in this domain.
Becoming a Machine Learning pro doesn’t essentially mean that you have to do a tech job. You can choose to be in the industry of your interest including finance, retail, transportation, government, healthcare, and more.
A report by Forbes states that machine learning engineer jobs grew by a massive 344% between the period of three years from 2015 to 2018. With skills and knowledge in machine learning, you can become a Machine Learning Engineer, Data Scientist, Computational Linguist, Human-Centered Machine Learning Designer, and more. A Machine Learning Engineer can earn an average annual salary of around USD 110,000, according to PayScale.
What to start with? AI or ML?
You have seen the areas where artificial intelligence and machine learning are applied. To decide on what to learn first you should first focus on your goals.
If you like to work in fields that include AI-powered robotics or computer vision, you can choose to start with Artificial Intelligence. For other applications, you should start with Machine Learning.
If you are confused about your goals, you can choose to take AI and ML courses that will help you learn the concepts in general. Machine learning, being a subset of Artificial Intelligence, is usually recommended to start with. This way, you can eventually head towards Artificial Intelligence whenever you wish to. Learning machine learning at first also lets you acquire a deeper understanding of complex algorithms and AI concepts that are applicable in both fields.
Conclusion
Hope this article has made the doubts clear regarding what to start with, AI or ML. You can take up an online training course that covers both technologies in general. Simplilearn has a bundle of courses that will let you acquire the required knowledge and skills and can also get you the job you wish to pursue, with its JobAssist program.
Enroll Yourself Now!!
