61⟩ Tell me what is Inductive Logic Programming in Machine Learning?
Inductive Logic Programming (ILP) is a subfield of machine learning which uses logical programming representing background knowledge and examples.
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78 Natural Language Processing Engineer Questions And Answers
62⟩ Tell me what is not Machine Learning?
☛ a) Artificial Intelligence
☛ b) Rule based inference
63⟩ Tell me what are the two paradigms of ensemble methods?
The two paradigms of ensemble methods are
☛ a) Sequential ensemble methods
☛ b) Parallel ensemble methods
64⟩ Tell me what are the five popular algorithms of Machine Learning?
☛ a) Decision Trees
☛ b) Neural Networks (back propagation)
☛ c) Probabilistic networks
☛ d) Nearest Neighbor
☛ e) Support vector machines
65⟩ Do you know why overfitting happens?
The possibility of overfitting exists as the criteria used for training the model is not the same as the criteria used to judge the efficacy of a model.
66⟩ Tell me what are support vector machines?
Support vector machines are supervised learning algorithms used for classification and regression analysis.
67⟩ Tell me what is classifier in machine learning?
A classifier in a Machine Learning is a system that inputs a vector of discrete or continuous feature values and outputs a single discrete value, the class.
68⟩ Tell me what are Bayesian Networks (BN)?
Bayesian Network is used to represent the graphical model for probability relationship among a set of variables .
69⟩ Tell me what are the advantages of Naive Bayes?
In Naïve Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data. The main advantage is that it can’t learn interactions between features.
70⟩ Tell me when to use ensemble learning?
Ensemble learning is used when you build component classifiers that are more accurate and independent from each other.
71⟩ Do you know what is the standard approach to supervised learning?
The standard approach to supervised learning is to split the set of example into the training set and the test.
72⟩ Explain what is ensemble learning?
To solve a particular computational program, multiple models such as classifiers or experts are strategically generated and combined. This process is known as ensemble learning.
73⟩ Tell us what is dimension reduction in Machine Learning?
In Machine Learning and statistics, dimension reduction is the process of reducing the number of random variables under considerations and can be divided into feature selection and feature extraction
74⟩ Tell me various approaches for machine learning?
The different approaches in Machine Learning are
☛ a) Concept Vs Classification Learning
☛ b) Symbolic Vs Statistical Learning
☛ c) Inductive Vs Analytical Learning
75⟩ Please explain what is Perceptron in Machine Learning?
In Machine Learning, Perceptron is an algorithm for supervised classification of the input into one of several possible non-binary outputs.
76⟩ Tell us why ensemble learning is used?
Ensemble learning is used to improve the classification, prediction, function approximation etc of a model.
77⟩ Explain me what is Genetic Programming?
Genetic programming is one of the two techniques used in machine learning. The model is based on the testing and selecting the best choice among a set of results.
78⟩ Tell me which method is frequently used to prevent overfitting?
When there is sufficient data ‘Isotonic Regression’ is used to prevent an overfitting issue.
