Abstract Recent advancements in large language models (LLMs) have opened the door to agentic systems capable of solving complex, open-ended tasks. Among such systems, Jupyter Agent represents a novel direction by integrating LLMs with code execution inside Jupyter Notebooks, thereby transforming them into autonomous data science agents. While large models show promising results in data…
For many beginners, the terminal—or command-line interface (CLI)—can look intimidating: a blinking cursor, black background, and cryptic text. But once you unlock its power, the terminal becomes your best friend, especially for developers, sysadmins, and anyone managing servers or code. In this blog, we’ll explore terminal commands from beginner to advanced, focusing on their practical…
Machine Learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn from data and improve over time without explicit programming. ML algorithms are broadly categorized into different types based on their learning approach and application. Understanding these types is crucial for selecting the right model for your problem. In this blog,…
Machine Learning
is a vast and intricate field that requires an understanding of key concepts from mathematics, statistics, programming, and data science. Let’s go through everything step-by-step, from the fundamental maths to the essential skills required to build ML models.
The world of cryptocurrency can be daunting for newcomers, given its complexity and the many different components involved.
Vectors Analysis Order, Dimension, Rank, Nullity, Null space, and Column space with a single worked example Definitions (short) * Order (size) of an $m\times n$ matrix: number of rows $m$ and columns $n$. * Rank: the dimension of the column space (number of linearly independent columns). * Nullity: the dimension of the null space (number…
Large Language Models (LLMs) have become one of the most transformative technologies in the field of artificial intelligence (AI).
When learning any programming language, it’s essential to master the fundamentals first. Python is known for its readability, simplicity, and versatility — making it one of the best languages for beginners. In this post, we’ll cover key Python fundamentals and explain how to use comments to write clean, understandable code. ✅ What is Python? Python…
In the realm of linear algebra and differential equations, Wronskian, eigenvalues, and eigenvectors play a crucial role in solving systems of linear equations, studying the behavior of differential equations, and analyzing the stability of systems. In this blog, we will dive deep into each of these concepts, provide formal definitions, and illustrate them with practical…
Introduction The Central Limit Theorem (CLT) is one of the cornerstones of statistical theory and a powerful concept in probability. This theorem explains why the normal distribution appears so often in real-world data, even when the original data doesn’t follow a normal distribution. Understanding CLT is crucial for statisticians, data analysts, and anyone working with…
