Warum ich mich bei ipt beworben habe, technische Fragen aber eher allgemein (Erfahrung mit verschiedenen Programmiersprachen), kurzer Vortrag meinerseits zu einem von mir ausgewählten Thema.
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question 1
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2
Question #2: How would you explain machine learning to someone who doesn't understand it?
How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3
Question #3: How do you stay up to date with the latest news and trends in machine learning?
How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.
8,212 machine learning engineer interview questions shared by candidates
It was a takehome assignment.
What is the property of L1 regularization?
Explain about Random Forest algorithm?
En gros, ils m'ont demandé de parler des projets sur lesquels j’ai travaillé, ce que j’y ai fait, etc. Ensuite, ils ont posé des questions sur les bonnes pratiques de codage. Comme le projet auquel j’ai participé portait sur l’optimisation du budget marketing, ils m’ont posé des questions liées à l’optimisation. Puis, ils m'ont présenté un cas pratique et m'ont demandé comment je le traiterais. J’ai expliqué étape par étape ce que je ferais, et pendant que je répondais, ils me donnaient du feedback. Il faut bien écouter leurs remarques et ajuster ses réponses dans la bonne direction. il me semble qu’ils ont aussi posé la question : “Pourquoi veux-tu rejoindre cette entreprise ?”
Application of Linear Regression
Underfitting, Overfitting, Case study, Statistical analysis
Boosting, validation metrics, cross-validation, imbalanced datasets, accuracy, F1 score, CNN, Docker, Kubernetes
Given Dover's current client onboarding flow, how can we improve it with the help of machine learning.
Everything related with my experience and career expectations.
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