Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?
How can I become a data scientist?
How does deep learning relate to ai?
Can word embedding be used in tensorflow? Name two models used in word embedding?
One of the main cons of hill-climbing search is, a) Terminates at local optimum b) Terminates at global optimum c) Does not find optimum solution d) Fail to find a solution
Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
What is the classification model in machine learning?
What is model accuracy and model performance?
Name three types of biases that can occur during sampling?
Do you think that deep network is better than a shallow one?
Explain types of clustering algorithm?
Define the term cross-validation
What is strong artificial intelligence?
Case Study based questions - Cars are implanted with speed tracker so that the insurance companies can track about our driving state. Based on this new scheme what kind of business questions can be answered?
Explain the differences between univariate and bivariate analysis?