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Machine Learning Interviews
Machine Learning Interview Questions
"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."
8,251 machine learning interview questions shared by candidates
Machine learning based Design Questions, Mostly based on logic and understanding of Machine Learning Algorithms.
How does the p-value relate to the distribution of data in statistical hypothesis testing?
Q: kubernetes, side-car containers, http protocol
1. With a spreadsheet as input, calculate the values of all cells using reverse polish notation. 2. You have a scatter of x,y points. The points are noisy representations of two lines. Implement an algorithm that will calculate the parameters of the two lines given only the points.
The question would make you think, with hypothetical scenario in Machine learning, but they will be healthy discussions.
for image classification, which is better, a fully connected neural network or a convolutional neural network?
poisson distribution
Design app to teach people how to dance (ML focus)
Logical questions like when a person climbs a tree 2 steps in 1 minute and drop 1 step during the same minute, how long it will take him to climb 10 steps
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