🚨Interested in becoming an 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? Here are 𝗳𝗶𝘃𝗲 𝗮𝗿𝗲𝗮𝘀 you need to know to ace the interviews 👇👇👇 𝟭. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 Practice arrays, binary search, strings, two pointers, stacks & queues and dynamic programming. Allocate about 60 to 90 minutes per day, practicing 3 to 4 cases per session. You don’t need to practice hundreds of algorithms & data structure problems, ~100 should be sufficient. 𝟮. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 Understand how to approach the conversation with business requirements (e.g. load, latency, storage) and architecture designs in terms of database, real-time system, load balancer, microservice, kafka, and such. 𝟯. 𝗠𝗟 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 Similar to system design, but the main focus is the application of ML. This topic focuses on example topics include: how to build a recommendation engine, search, fraud detection, forecasting and such. Per each category, understand the algorithmic frame...