Artificial intelligence and machines are an integral part of our daily lives, but not so many people understand their applications well. Artificial intelligence and machine learning are related but they do not necessarily perform the same tasks. It is therefore important to understand their core differences before you can use any one of them in your business. Knowing when to choose artificial intelligence (AI) or machine learning (ML) can determine how well you will do in business. In this article, we will discuss everything you need to know about artificial intelligence and machine learning including what they are and their difference. If you want to learn about artificial intelligence and machine learning, then I would suggest you to go for a machine learning certification course, which is provided by Intellipaat and become an expert in it.
The Basics of Artificial Intelligence and Machine Learning
Artificial intelligence (AI) basically means the ability of machines to perform tasks in “intelligent” ways. These machines are programmed to do more than just a single and repetitive motion, but they are capable of adapting to different kinds of situations. Machine learning (ML) is technically a subfield of artificial intelligence that is based on the concept that we can create machines that are capable of processing data and learning on their own with little or no supervision.
Although the concepts of artificial intelligence and machine learning date back to decades and centuries ago, their application to our everyday life is relatively new. Artificial intelligence actually came about with the first computers but these earliest computers could not make any decisions on their own. However, these “logical machines” were capable of remembering information and even making calculations. The creators of the earliest computers had the intention of developing a brain-like machine but with technology continuing to advance, the brain-like machines have advanced as well.
Our own understanding of how the human brain works has also increased thus our approach to artificial intelligence has radically changed as well. Modern computers are now capable of making complex calculations as well as making decisions just like humans but on their own. The computers use these decisions to complete incredibly complex tasks.
Types of Artificial Intelligence (AI)
Artificial intelligence is basically classified into two main subcategories namely:
- Applied artificial intelligence
- Generalized artificial intelligence
Applied AI is the most common type of artificial intelligence that deals with everything to do with automated driving as well as intelligent stock-trading systems. Generalized artificial intelligence is a less common form of AI since it is not easy to create but just like humans, a generalized AI can ideally handle a wide range of tasks. Despite the difficulty in creating generalized AIs, researchers continue to make advancements in this field. In fact, this type of AI is what led to the growth of machine learning.
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How Computers Learn to Think Like Humans?
Neural networks are a critical element in the process of teaching computers to closely mimic human brains allowing them to think like humans. These neural networks are more accurate, faster and less biased at the same time. These networks are a form of computer system that is able to classify information the same way human brains do. Neural networks can look at a picture and identify all the elements in them and can easily classify them depending on what they show.
Neural networks are able to make determinations with the help of the data they are able to have access to. Although this data does not guarantee the accuracy of these networks, they make decisions to a large extent based on what is likely to be accurate. The most important part of these systems is their ability to use a feedback loop for learning which means that a machine can easily find out whether its decisions were the right ones or not allowing it to choose a different approach for better results.
The Growth of Machine Learning (ML)
This branch of artificial intelligence continues to advance thanks to major breakthroughs in the field of artificial intelligence. One of these breakthroughs is the realization that it was convenient and efficient to teach modern computers how they can learn instead of teaching them how to perform various tasks and providing them with all the information required to complete the tasks. The growth of the internet was the second major milestone that has led to a great potential for storage of information that has never been witnessed before. It is now possible for machines to access huge amounts of data that they were initially unable to access as a result of storage limitations. Humans cannot even process the amount of data that is being created since it is too much. With these breakthroughs, we now realize that it is better to design machines that are capable of “thinking” for themselves instead of teaching them to perform tasks. They cam learn on their own by accessing the huge amounts of data available.
Applications of Machine Learning
The possibilities of intelligent systems are endless. Machine learning allows computers to determine whether the context of a text is negative or positive by simply looking at it. They can even figure out the emotions a song is likely to excite among people. In fact, some machines can be programmed to listen to a piece and create their own composition based on the theme. Machine learning has radically changed how people communicate with each other. Natural language processing is a field of artificial intelligence that heavily relies on machine learning allowing companies to provide automated customer service that is as important as the customer support offered by humans.
How to Choose Between Artificial Intelligence and Machine Learning?
Artificial intelligence and machine learning have significant business applications but in order to determine the best choice for your business, it is important to identify your needs first. Both AI and Ml have several great applications that can take your business to the next level, but machine learning has lately become a popular choice for most companies which has led to its increased adoption. On the other hand, artificial intelligence is equally useful especially for simpler applications that do not need ongoing learning.
Many marketers are beginning to leverage the power of artificial intelligence and machine learning to gain valuable insights about how to improve workflows, customer service and the ability to automate tasks.