Скачать или смотреть FAANG Interview Preparation Course: How to Crack Machine Learning Interviews with a Microsoft Expert

In the video "FAANG ML Interview Prep: A Comprehensive Guide," Abdul Salama, an ex-Microsoft machine learning expert and long-time mentor at Interview Kickstart, shares valuable strategies and insights designed to help candidates excel in ML interviews at FAANG companies. This guide is part of Interview Kickstart's FAANG interview preparation course, providing a structured approach to understanding ML roles and preparing for their unique interview requirements.

Throughout the course, Abdul explains essential distinctions between an ML engineer and a data science engineer, outlining the specific expectations for each role within FAANG companies. This differentiation helps candidates tailor their skills effectively as part of the FAANG interview preparation course. He also offers guidance on securing ML roles without prior ML experience, addressing the journey of transitioning into top tech companies and reinforcing why preparation is crucial for such high-stakes interviews.

A significant portion of the FAANG interview preparation course emphasizes the unique aspects of coding rounds for ML positions, where candidates are tested on algorithms, statistical knowledge, and ML-specific coding skills. Abdul delves into the core ML concepts typically reviewed in interviews, providing insights into essential topics like optimization techniques, algorithmic thinking, and statistical models.

The course also addresses the distinct nature of system design rounds in ML interviews, contrasting them with standard engineering roles and focusing on data handling, model scalability, and deployment. Abdul discusses the trajectory of ML engineering, contemplating whether it will become mainstream and the importance of mastering ML through a FAANG interview preparation course.

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Finally, Abdul provides practical tips to help candidates begin their ML interview preparation journey, emphasizing the importance of foundational knowledge, coding practice, and understanding the daily life of an ML engineer compared to backend or full-stack engineers. This video serves as a comprehensive introduction to Interview Kickstart's FAANG interview preparation course, equipping candidates with the knowledge to start their preparation with confidence.

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In this video you will learn:

The difference between an ML engineer and a Data Science Engineer
How does one get an ML job in a FAANG+ company without prior ML experience?
Why is there a need to prepare for an ML interview at FAANG+?
How are coding rounds different for ML positions?
Which ML concepts are typically covered in an interview?
The difference in system design rounds of ML interviews
Will ML roles it become mainstream eventually?
How is the life of an ML engineer different from a full stack or a backend engineer?
Some tips to get started with your ML interview prep journey

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