How Data Transfer Takes Place from RAM to SSD: A Detailed Insight
In modern computing, the seamless transfer of data between various hardware components is crucial for maintaining system performance and efficiency.
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Understanding Tensors: A Comprehensive Guide with Mathematical Examples
Welcome to our mathematically rigorous exploration of tensors. This guide provides precise definitions, theoretical foundations, and worked examples ranging from elementary to advanced levels. All concepts are presented using proper mathematical notation with no reliance on programming languages. The Story of Tensors: From Curved Surfaces to Cosmic Equations Long ago, in the 19th century, a…
Mastering Android Development with Kotlin & Android Studio
This course is designed for beginners and intermediate developers interested in learning how to build Android applications using Kotlin and Android Studio. By the end of the course, you’ll have hands-on experience with Android Studio, Kotlin programming, and essential Android development tools and techniques.
The Efficiency Revolution: How to Choose the Right-Sized AI Model for Your Needs
Executive Summary As AI adoption accelerates, a critical shift is occurring: organizations are moving from “bigger is better” to “right-sized is smarter.” Our comprehensive analysis of 9 leading models across climate, economic, and healthcare domains reveals: Smaller models (3B-32B parameters) can match or exceed larger models’ accuracy on specialized tasks while using 24x less energy Newer model…
Mathematics in Operations Research: Concepts, Methods, and Examples
Operations Research (OR) is a multidisciplinary field that uses mathematical models, statistical analysis, and optimization techniques to solve complex decision-making problems in various industries such as manufacturing, transportation, healthcare, finance, and logistics.
MoE Explained and visualized The Architecture Behind Efficient Large Language Models
What is Mixture of Experts? Mixture of Experts (MoE) is a technique that uses many different sub-models (or “experts”) to improve the quality of LLMs. Two main components define a MoE: Experts – Each FFNN layer now has a set of “experts” of which a subset can be chosen. These “experts” are typically FFNNs themselves. Router or gate…
Google Cloud Dataproc vs Databricks: 7 Differences to Know (2025)
Say you’re dealing with data—tons of it. Maybe you’re processing logs, training ML models, or running analytics. Whatever it is, you need a platform that can handle the load without making your life harder. There are many options available, but two that you might consider are Google Cloud Dataproc and Databricks. Databricks is a unified analytics platform built on Apache Spark that brings data…
How to Crack Machine learning Interviews at FAANG!
As a candidate, I’ve interviewed at a dozen big companies and startups. I’ve got offers for machine learning roles at companies including Google, NVIDIA, Snap, Netflix, Primer AI, and Snorkel AI. I’ve also been rejected at many other companies. As an interviewer, I’ve been involved in designing and executing the hiring process at NVIDIA and…
Understanding the Difference Between Long and Wide Format Data in Data Analysis
What is the Difference Between Long and Wide Format Data? In data analysis and data science, organizing your data correctly is a crucial step that can significantly impact the efficiency and accuracy of your analysis. Two common ways to organize data are long format and wide format. Understanding the difference between the two formats…
Understanding the Properties of Laplace Transforms: A Comprehensive Guide
Laplace Transforms serve as a powerful method for solving differential equations and analyzing linear systems. In this blog, we will delve into the essential properties of Laplace Transforms, demonstrating how they can make mathematical computations more manageable. We will cover the key properties, include derivations, and show how these can be utilized in mathematical applications….