Bias vs Variance tradeoff .
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."
8,221 machine learning interview questions shared by candidates
Descrizione dettagliata del periodo di tesi, su cosa ho lavorato e come ho contribuito. Nello specifico come funzionasse il meccanismo per il quale SHAP ritorna i punteggi. Descrizione dettagliata di alcuni progetti svolti nel periodo accademico.
Typical leetcode tasks. Rather the easy ones.
O que os seus pais te ensinaram
Lots of detailed data science questions, which I liked actually. They tested if you really know what is done behind the scenes or are you just a black boxer. The questions were appropriate.
Type of project, personal achievements. How would a company made of you be -> pro/cons?
['123', '213', 'acd', '321', 'dac'] to [['123', '321', '213'], ['acd', 'dac']]
How do you make sure the training data is balanced?
Tell me about yourself Coding questions
Is it a good idea to choose harmonic series as learning rate?
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