J'ai postulé en ligne. Le processus a pris 5 semaines. J'ai passé un entretien chez Infocusp (Ahmedabad) en juil. 2024
Entretien
Interview process had 2 rounds-
Both were technical and judged your proper knowledge on Deep Learning and Machine Learning abilities. Also asked about my projects and internship experiences. They went deeper into architecture understanding and process of model working.
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Infocusp (Pune) en avr. 2024
Entretien
I gave the coding test. Did not get the results of it yet. There were two Python questions with moderate difficulty levels.
1) Generate the maximum of number by adding a new digit in the given number in the proper place.
2) N- water in well, a,b,c -bucket sizes. Water drawn using each bucket will give one coin. Find the maximum number of coins we can earn.
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 1 jour. J'ai passé un entretien chez Infocusp (Coimbatore) en juin 2022
Entretien
Interview was based on mathematical and profound understanding of ML concepts. Enjoyed being asked math of ML in interview. That is one of the reason it drew me towards accepting a career here.
Questions d'entretien [1]
Question 1
in which ML algorithms mentioned below, it would be beneficiary to apply scaling of data and why? 1) KNN 2) Kmeans 3)Naive Bayes
