1.Incorporating General AI into Data
2.Deep Learning Fundamentals and Two Layer DNN Model
3.CUDA Experience
4.Deep Neural Network Layers
5.Common Recommendation Algorithms
6.Describe the process of designing a recommendation system combined with NLP, focusing on how features are obtained and designed.
7.Explain all the models used in your chatbot project and detail the mathematical reasoning process within the NLP model.
8.Describe the model used in the Ranker of a recommendation system, explain the model and its complexity.
9.Describe the model used in the Candidate Generator of a recommendation system and explain the model complexity.
10.Machine Learning Algorithm Implementation
11.Position Encoding in Transformers
12.Transformer Model
13.Differentiate between various BERT models.
14.Explain the structure and principles of the transformer model.
1. Incorporating General AI into Data
How would you incorporate general AI into working with data?
2. Deep Learning Fundamentals and Two Layer DNN Model
Discuss deep learning fundamentals and explain how you would implement a two-layer DNN model.
3. CUDA Experience
Can you describe your experience with CUDA in the context of machine learning or deep learning?
4. Deep Neural Network Layers
In the context of Deep Neural Networks (DNNs), how do you decide on the number of layers to use?
5. Common Recommendation Algorithms
What are some common recommendation algorithms you are familiar with, and how can they be improved?
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