"The questions you are asked in an interview for a position as a scientist will depend greatly on field of science you intend to work in. Generally, interviewers will be interested in your formal education, field of study and specialization, work, internship, and research experience, scientific writing skills, and interest in the subject matter. Expect to be asked technical questions that pertain to the knowledge needed to perform the duties of the job. While there are some positions open to scientists who possess associates' or bachelors' degrees, most jobs will require you to have at least a masters' degree with the majority requiring you to have a doctorate."
write a code in R/SQL: Given a table with three column, (id, category, value) and each id has 3 or less category (price, size, color). Now, how can I find those id's for which the value of two or more category matches to one another? For eg: ID1 (price 10, size M, color Red), ID2 (price 10, Size L, Color Red) , ID3 (price 15, size L, color Red) Then the output should be two rows: ID1 ID2 and ID2 ID3
- What is over-fitting? How do you avoid it? - What types of regularization do we have? Which one is simpler to use? L1 or L2? - Explain decision trees? What are different metrics to classify dataset? - What is bagging? - We have two models, one with 85% accuracy, one 82%. Which one do you pick? - What is p-value and how can we use it?
what is your salary expectation?
career goals
Describe a time you had a problem at work and how did you solve it?
Interviewer: What is the technique to evaluate Logistic regression. I answered Cross entropy. Interviewer: no
Given measurements of acceleration taken from a wristband, with second by second acceleration in the X, Y, Z axis, how would you predict if the person wearing the wrist is sitting, walking or just standing?
Mettez vous à jour des procédures?
Let's say you finished developing a machine learning model and you are getting 95% accuracy. Should you be happy?
Can you explain what regularization is. What's the difference between L1/L2 regularization
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