Thank You AI

Tag: algorithms

  • 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…

  • Training a model in Machine Learning

    Training a model in Machine Learning means a lot of things. To make it simple, we can say that a model learns from previous data first. For example, by examining the model, the machine learning algorithms try to read and learn from the pattern of the past data. As a result, it minimizes the error…

  • Data Model and Learning in Machine Learning

    In this section we will discuss three key concepts in machine learning – data model and learning. How they are related and their functions. In previous sections we have discussed a few other key concepts, such as Python and scikit-learn, the role of python libraries in machine learning and many more. However, we have not…

  • 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…