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Airbnb interview process and top questions

Prepare for Airbnb interviews with our comprehensive guide. Explore sample questions for each round, along with tips for technical, behavioral, and cultural fit interviews to boost your chances of success!
Dania Ahmad
Jan 10 · 2025
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Linear Regression vs. Logistic Regression

Understand the key differences between the linear regression and the logistic regression. Understand how the logistic regression model works and look at some of the applications of logistic regression in machine learning.
Khawaja Muhammad Fahd
Jan 10 · 2025
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AI and coding: How AI is redefining learning to code

AI isn't replacing any developer — it's an assistant that will help you do more. In fact, by reducing tedium, AI tools will help junior developers make a stronger impact, faster.
Fahim ul Haq
Jan 7 · 2025
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How ChatGPT System Design works behind the scenes

This blog explores the system design of ChatGPT, focusing on its architecture and key components involved in text understanding and response generation. It explains how natural language understanding (NLU) and natural language processing (NLP) work together to generate context-aware responses.
Amna Arshad
Jan 7 · 2025
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Meta layoffs: Everything developers need to know

Understanding Meta’s layoffs and its new strategy can help developers target in-demand roles, future-proof their skills, and thrive in an always-evolving tech landscape. Let’s examine what happened, why it matters, and how developers can set themselves apart if they want to work at Meta.
Areeba Haider
Jan 6 · 2025
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Making sense of Kolmogorov-Arnold Networks (KANs)

This blog explores Kolmogorov-Arnold Networks (KANs), an innovative neural network architecture that resembles traditional fully-connected neural networks but replaces weights and node-based activation functions with edge-based activation functions. We examine the learnability of these functions, compare KANs with traditional neural networks based on early experimental findings, and investigate their potential for greater interpretability and continual learning.
Mehvish Poshni
Jan 6 · 2025
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Top 90+ Dell interview questions

This blog is your ultimate guide to preparing for Dell interviews, covering technical and behavioral aspects to help you succeed. It highlights key technical topics like arrays, strings, linked lists, trees, stacks, graphs, dynamic programming, system design, OOP, operating systems, and networking, with examples such as SQL vs. NoSQL and RAID types. Behavioral questions focusing on teamwork, cultural fit, and motivation are also addressed, emphasizing Dell’s core values. Additionally, it provides preparation tips, frequently asked Dell interview questions, and resources like Educative’s Grokking Coding Interview Patterns and Grokking the Behavioral Interview. Whether solving technical problems or showcasing soft skills, this blog equips you to ace your Dell interview.
Ishrat Fatima
Jan 2 · 2025
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How to use convolutional neural networks (CNNs) for images

Convolutional Neural Networks (CNNs) power groundbreaking innovations like facial recognition, self-driving cars, and medical imaging. This blog breaks down how CNNs work, exploring their core layers—convolutional layers, pooling layers, and fully connected layers— and explaining their training process with backpropagation, making the concepts accessible even to machine learning beginners. You’ll also explore a hands-on example of building a simple CNN with TensorFlow and Keras.
Hamna Waseem
Jan 1 · 2025
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How to pass AWS certified solutions achitect associate exam

This blog discusses some protips to prepare for and pass AWS Solutions Architect Associate Exam (SAA - C03).
Zainab Mohsin
Dec 31 · 2024