2/6/2024 0 Comments Google linguist salary![]() Candidates should check out videos on tutorials on system design i.e building and designing a website such as Netflix, as companies have system design as one of the crucial parts of the interview process.As ML companies have multiple coding rounds, candidates can read various Books on Data Structures and algorithms such as Cracking the Coding Interview by Gayle Laakmann McDowell, pursue Data Science Courses on Coursera.Make your machine learning portfolio stand out and land good job interviews by using Kaggle to build machine learning projects, participate in discussion forums, and work on various programming projects.It is advised to start practicing for ML interviews 2 - 6 months prior to the date. Candidates should focus on building their own machine learning systems and projects, get well equipped with big data platforms like Spark and deep learning libraries like Pytorch.Top companies expect ML candidates to not just know about Machine Learning, but also about data science and system design. ![]()
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