In simple terms, a decision tree is a data analysis tool that can be used to make decisions. It’s an efficient way to analyze large sets of data and identify patterns. More importantly, you can commonly use decision trees in machine learning. This is a field of AI that uses computers to learn from data…
Artificial intelligence and machine learning have been around for a while now, but what exactly is it? Simply put, AI and ML are technologies that allow machines to learn from data. In other words, they can “figure things out” on their own by analyzing large amounts of data. This technology is being used in a…
Like most people, you probably think of machine learning as a way to make computers smarter. You may have heard of it in the context of Google Photos, which identifies objects in photos and tags them accordingly. But you may not know that machine learning has much more to offer than just powering Google Photos…
In essence, “epoch” in machine learning refers to a data segment. By dividing data into epochs, algorithms can more easily learn and make predictions. Without epochs, algorithms could struggle with data volume. And while there are various ways to set up epochs, understanding how they work is essential if you want to get the most…
In this article, we will be discussing the concept of classification in machine learning. We will start off by giving an overview of the different types of classification that are available, and then move on to describe how they work. We will also provide a few examples to illustrate the concepts more clearly. What is…
Under supervised learning, there is a type called classification. These algorithms recognize the category a new observation belongs to based on the training dataset. In supervised learning, there are independent variables and a dependent variable Here, the dependent variable is the category, and each category’s features are independent variables. These categories are distinct and pre-defined…
