Fynd Data Scientist Interview Questions, Process, and Tips

Utilize GPUs for matrix multiplication, deep learning operations, and parallel processing.

• Use GPUs for matrix multiplication to speed up computation.

• Utilize GPUs for deep learning operations like training neural networks.

• Take advantage of GPUs for parallel processing to handle large datasets efficiently.

Cross entropy loss is used in classification because it penalizes incorrect classifications more heavily, making it more suitable for classification tasks compared to SSE.

• Cross entropy loss is more suitable for classification tasks because it penalizes incorrect classifications more heavily than SSE.

• Cross entropy loss is commonly used in scenarios where the output is a probability distribution, such as in multi-class c...read more

RNN is a type of neural network that can process sequential data by retaining memory of previous inputs.

• RNN stands for Recurrent Neural Network.

• It has loops in the network, allowing information to persist.

• RNNs are commonly used in natural language processing and time series analysis.

• Example: Predicting the next word in a sentence based on previous words.

Encoder-decoder is a neural network architecture used for tasks like machine translation and image captioning.

• Encoder processes input data and generates a fixed-length representation

• Decoder takes the representation and generates output data

• Commonly used in tasks like machine translation (e.g. translating English to French) and image captioning

LSTM (Long Short-Term Memory) is a type of recurrent neural network that is capable of learning long-term dependencies.

• LSTM is designed to overcome the vanishing gradient problem in traditional RNNs.

• It has three gates: input gate, forget gate, and output gate, which control the flow of information.

• LSTM is commonly used for time series forecasting, such as predicting stock prices or weather patterns.

• To use LSTM for fore...read more