"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
They asked me to explain a complex ML project in simple language, including the problem, the approach, and the business impact. I answered by walking through a project where I built a predictive model from raw data, explained why I chose a certain algorithm, described how I handled model performance issues, and shared the final results and impact.
Basic tell me about your background
1. The famous celebrity question that uses hashmap 2. Adding two linked list and storing the output in another linked list 3. Dynamic programming question
Describe a time you stood up for an opinion you believed in?
What is recall and precision ?
Quais os maiores Desafios encontrados na carreira
Como você resolveria esse problema de dados utilizando a AWS? Você tem disponibilidade para trabalhar híbrido? Conte me sobre suas experiências.
Como é sua relação com os stakeholders no seu emprego atual.
Qual métrica você usaria para comparar se as features estão diferentes?
Me fale sobre um projeto seu que falhou.
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