Thank You AI

Tag: Algorithm

  • Can we learn all Machine Learning algorithms in one place?

    Yes, we can learn all machine learning algorithms such as linear regression, decision trees, and neural networks at one go. Firstly we will prefer good books over online courses. There are reasons or algorithms behind this decision. Certainly it is not a linear decision. At the same time we can go through some research papers…

  • How can we learn Artificial Intelligence?

    If we want to learn Artificial Intelligence or in short AI, there are a few steps that we need to follow. It’s like a one way ticket. Why do we call it a one way ticket? Because there is no alternative to Artificial Intelligence. Ultimately we have to learn it. The emergence of ChatGPT tells…

  • Explain artificial intelligence in simple terms

    Artificial Intelligence (AI) refers to the simulation of human intelligence in machines. We have designed it to think and act like humans. These machines use algorithms, data, and processing power to recognize patterns, make decisions, and complete tasks. As a result, it acts in a way that resembles human behavior. However, The ultimate goal of…

  • Multivariate regression in machine learning

    Multivariate Regression in Machine Learning is a supervised machine learning algorithm. In this section we will take a close look. How does this linear regression model work? How can we train our model to predict an outcome based on a formula? In this section we will try to understand this important concept and dig some…

  • Is Matplotlib library used for Machine Learning?

    The answer is yes. We use the Matplotlib library or package for machine learning. Why? We will discuss it in this section. And at the same time, we will also discuss why we need a library like Matplotlib in machine learning.  The first and foremost reason is with the help of Matplotlib, we create static,…

  • Unsupervised Learning example

    In the last section we have got an idea about unsupervised learning. To make the concept clear, let’s see a unsupervised learning example. Unsupervised learning helps us to figure out why the dataset is special. Suppose we have different types of cats and different types of dogs.  Therefore, there are many data points that are…

  • Unsupervised Learning in Machine Learning

    We have discussed supervised learning in machine learning in the previous section. Is unsupervised learning just the opposite? Well kind of that. And the story starts from here. Because in supervised learning algorithms we need a teacher who will supervise the learning. Right?  When the learning is unsupervised, we cannot expect a teacher who will…