What is symbolic machine learning?
What is data pre-processing technique for machine learning?
Tell us how do deductive and inductive machine learning differ?
What is regularization? What kind of problems does regularization solve?
What should I learn before machine learning?
How do you control for biases?
Name a few libraries in Python used for Data Analysis and Scientific Computations?
Explain the Algorithm of Probabilistic networks in Machine Learning?
How machine learning is deployed in real world scenarios?
Describe dimension reduction in machine learning.
Can you name some feature extraction techniques used for dimensionality reduction?
Explain how does naive bayes classifier work in machine learning?
How can you avoid overfitting?
What are different types of Compilers and also define how to convert NFA to DFA?
Is python good for machine learning?