mailitics

Category: mathematics

  • Modular Arithmetic in Data Science

    Modular Arithmetic in Data Science Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching a value called the modulus. The system is often referred to as “clock arithmetic” due to its similarity to how analog 12-hour clocks represent time. This article provides a conceptual overview of modular arithmetic and…

  • Demystifying Cosine Similarity

    Demystifying Cosine Similarity Mathematical intuition and practical considerations for NLP scenarios The post Demystifying Cosine Similarity appeared first on Towards Data Science. Chinmay Kakatkar Go to original source

  • Explained: How Does L1 Regularization Perform Feature Selection?

    Explained: How Does L1 Regularization Perform Feature Selection? Feature Selection is the process of selecting an optimal subset of features from a given set of features; an optimal feature subset is the one which maximizes the performance of the model on the given task. Feature selection can be a manual or rather explicit process when…

  • Using Constraint Programming to Solve Math Theorems

    Using Constraint Programming to Solve Math Theorems Case study: the quasigroups existence problem TLDR Some mathematical theorems can be solved by combinatorial exploration. In this article, we focus on the problem of the existence of some quasigroups. We will demonstrate the existence or non existence of some quasigroups using NuCS. NuCs is a fast constraint…

  • Understanding the Mathematics of PPO in Reinforcement Learning

    Understanding the Mathematics of PPO in Reinforcement Learning Deep dive into RL with PPO for beginners Photo by ThisisEngineering on Unsplash Introduction Reinforcement Learning (RL) is a branch of Artificial Intelligence that enables agents to learn how to interact with their environment. These agents, which range from robots to software features or autonomous systems, learn through…

  • A Bird’s-Eye View of Linear Algebra: Orthonormal Matrices

    A Bird’s-Eye View of Linear Algebra: Orthonormal Matrices Orthonormal matrices: the most elegant matrices in all of linear algebra. Continue reading on Towards Data Science » Rohit Pandey Go to original source

  • How to Apply the Central Limit Theorem to Constrained Data

    How to Apply the Central Limit Theorem to Constrained Data What can we say about the mean of data distributed in an interval [a, b]? Continue reading on Towards Data Science » Ryan Burn Go to original source