Post by Mayank Sultania

𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗔𝗿𝗲 𝗮 𝗠𝘂𝘀𝘁 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 Whether you’re preparing for roles in Data Science, ML Engineering, AI, or Quantitative Finance, one common thread across interviews is: Strong fundamentals in Probability & Statistics. --- Why?  • They test your analytical reasoning and ability to deal with uncertainty.  • Core ML/AI models (from Naive Bayes to Neural Nets) are grounded in probability distributions. To help with this, here is a great Probability & Statistics Cheat Sheet that covers:  • Bernoulli, Binomial, Poisson, Normal, and other key distributions  • Central Limit Theorem & its implications in sampling  • Multinomial, Dirichlet, and Multivariate Normal distributions  • Connections between different distributions (e.g., Geometric ↔ Negative Binomial, Beta ↔ Binomial) --- This is a quick-reference resource to revise before interviews, ensuring you can:  • Answer conceptual probability questions  • Tackle applied ML/statistics scenarios If you’re preparing for upcoming interviews, make sure your prob & stats toolkit is revised properly. Resource attached as a pdf. ♻️ Share it with your network if you find it useful, and follow Mayank Sultania for more practical AI tips. PDF Credit: Reza Bagheri #Probability #Statistics #MachineLearning #DataScience #AIInterviews #InterviewPrep #CheatSheet