Unsupervised Learning

What is Monte Carlo Tree Search (MCTS)? 💡 Monte Carlo Tree Search, or MCTS, is a smart cookie 🍪. It’s a statistical decision-making algorithm that plays out all possible scenarios to predict the best move or decision. Imagine playing chess ♜ and being able to see into the future. By simulating multiple games from your current position, MCTS…

Machine learning algorithms are used to build models that can make predictions or decisions based on data. However, these algorithms often require tuning of various settings known as “hyperparameters” in order to achieve optimal performance. …

In the present time machine learning is a booming field in which machines are trained with the vast amount of data so that it can act without any human guidance, intervention and automate the task or can able to take the decision or make predictions according to the experiences. Right…

What is Unsupervised Machine Learning? It is a method of machine learning where, as opposed to learning from a training dataset (as in supervised learning), the model itself discovers hidden patterns and insights in the data. Even without understanding what each group stands for, it divides people into groups based on some similarities. I won’t…

Machine learning is a buzzword everyone sees floating around the news, but do you actually know what it is? It’s not something you should know but rather something worth knowing. Ever thought about the movie recommendations you get on Netflix or Amazon Prime? That’s machine learning right there. Machine learning…

Data Science curriculum design — I am excited to share a practical and interesting application of hierarchical clustering for curriculum design in this article. Data Science and ML skills are in high demand as businesses begin to leverage data to build AI solutions, this has in turn increased the demand for data professionals like Data…

UMAP, short for Uniform Manifold Approximation and Projection is a powerful dimensionality reduction technique that has gained significant attention in the field of data analysis and visualization. But unfortunately it is not very well-known yet. It is similar to t-SNE, so it is a non linear method for dimension reduction…

Welcome, fellow explorers of the digital realm, to a captivating journey into the realms of machine learning! In this blog, we will embark on a comparative exploration of two powerful learning methods: Supervised Learning and Unsupervised Learning. Get ready to uncover the essence of these algorithms, understand their different types…

Today is the last day of WAW2023 conference. It was a great experience to attend it. I had an opportunity to meet some of the top experts in analyzing and modeling graphs and hypergraphs. …