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The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

🧵 Let’s pen down some of the most interesting machine coding questions(Frontend) asked during an interview!?

In an interview, I was asked: 'Given an API log file with millions of entries, how would you efficiently determine the top 10 most frequently called APIs?' Curious to hear different approaches—how would you tackle this?

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

Advice by senior to junior 🤞🏻 🔥Programmers road map👇🏻 This isnt for switching jobs just to be better at what you do everyday. 1. Stop doing a lot of leetcode problems. But pick data structures research papers and start reading and implementi

Stupid question, can Noland use Neuralink with his eyes closed? Today I saw an interview with a neurosurgeon who was asked about the recent advances of Neuralink. The neurosurgeon replied that despite not knowing all the details (which personally an

Excited to share that I have successfully completed Trimester 1 of the Credit-Linked Program in Computer Science at Daksh Gurukul, IIT Guwahati! This journey has been both challenging and rewarding, filled with valuable learning experiences and oppo

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Hello, I'm a final year student at the National Institute of Technology, Kurukshetra, and I will be graduating in a month. I want to join startups to begin my career with an SDE role. Can you suggest how to get a job in startups, and if someone wants