Perguntas de entrevista da empresa Panda Security

Data augmentation is a technique commonly used in machine learning and deep learning to artificially increase the size and diversity of a dataset by applying various transformations to the existing data. The goal of data augmentation is to enhance the model's ability to generalize and perform well on unseen data by exposing it to different variations of the original data. In the context of image data, data augmentation involves applying a range of transformations to images, such as rotations, flips, cropping, scaling, and color adjustments. By doing so, the model becomes more robust to variations in lighting, orientation, and other factors that can be encountered in real-world scenarios. Data augmentation is particularly useful when the original dataset is limited in size or lacks diversity.

I was contacted by HR over Skype for a first interview full of nonsense questions ( I was really interested in the role so I didnt mind). They sent me to Panda HQ in which I was interviewed by the hiring manager. He looked like he was only interested in getting confidential information and know-how from my previous company so I started giving him vague and general answers. They were supposed to give an answer back in a week's time but none the hiring manager nor the HR team ever responded to my emails. After investigating within my close colleagues, apparently this is their way of treating the candidates and employees.