Machine learning (ML) is the next big thing that’s going to change our lives forever, or at least it will affect the way we do our jobs or how we interact with computers in daily life.
Machine learning, also known as artificial technology (AT), involves the use of computers to recognize patterns in data without being explicitly programmed to do so. It’s been around since the 1950s, and today there are three main types of ML algorithms that most people are talking about. In this article, we’ll take a look at what they are and how they’re currently being used in the real world.
What Is Artificial Intelligence (AI)?
When we talk about artificial intelligence, most people think of science fiction movies like Terminator, Blade Runner, and The Matrix. Artificial intelligence has also become part of our everyday life through such technologies as Siri on our iPhones and Alex (Amazon’s artificial intelligence) that assists us with purchasing products online. Artificial Intelligence refers to computer systems that can reason, learn, plan and act just like human beings do.
AI and Machine Learning:
If you’re looking for a good introductory course on Machine Learning, you should take Andrew Ng’s free Coursera course. It doesn’t require any experience with either Python or Machine Learning (although those will certainly help). The material is broken up into 4-6 weeks of content that includes both theory and practical applications; at the end of each week, there are quizzes to test your knowledge and assignments to put it all into practice.
The History of Artificial Intelligence:
It’s no surprise that machine learning is so popular today; it’s been around for decades. But where did it start? Let’s take a look at how artificial intelligence research has evolved over time, starting with some of history’s greatest minds, like Alan Turing and John von Neumann. For example, we can use Bayes theorem to create a simple algorithm to teach an AI model when an object belongs to one category or another.
How Does AI Work?
Artificial technology (AI) aims to mimic human cognitive abilities, like learning and problem solving. Whether you’re familiar with cutting-edge AI developments or not, chances are you interact with machine learning every day—without even realizing it.
Where Can We Use AI?
Let’s use machine learning to perform a task that we would typically call upon a human to do. Let’s say you were responsible for casting extras in a major motion picture, but you didn’t have time to screen every audition tape. You could use AI to quickly and efficiently search through your database of past auditions, identify appropriate candidates, and schedule interviews for you. That sounds like something Hollywood might actually do!
Why Should I Care About AI and ML?
At some point in your life, you’ve probably been asked How do you feel about computers taking over people’s jobs? First, if you haven’t heard of AI and ML, or think it has nothing to do with your life today, then you may want to pay attention.
How to Get Started With AI/ML on AWS:
A Beginner’s Guide : Today, anyone can train their own artificial intelligence (AI) algorithm with no prior coding experience required. The price of computing power has dropped to zero or close to it and many cloud services, such as Amazon Web Services (AWS), make it easy for non-experts to create sophisticated models.