Gateway for Preparing Interviews
What is the difference between supervised and unsupervised machine learning? Supervised learning requires training labeled data. For example, in order to do classification (a supervised learning task), you’ll need to first label the data you’ll use to train the model to classify data into your labeled groups. Unsupervised learning, in contrast, does not require labeling … Read more
Where is native modifier used It can refer only to methods and it indicates that the body of the method is to be found else where and it is usually written in non java language When do you use continue and when do you use break statements When continue statement is applied it prematurely completes … Read more
Do you know anything about Pareto principle/analysis? This is again a knowledge-based question. The Pareto principle states that 80% of the results come from 20% of the actions. This is a statistical analysis that is used by project managers to prioritize work. If you have enough experience as a project manager, most likely you have … Read more
What is Fuzzy Logic Implementation? Basically, it can be implemented in systems with various sizes and capabilities. That should be range from mall micro-controllers to large. Also, it can be implemented in hardware, software, or a combination of both in artificial intelligence. How would you explain a uniform cost search algorithm? In a uniform cost search … Read more
Explain role-based security. Role-based security is used to implement security measures based on the role assigned to the users in the organization. Then we can authorize users based on their roles in the organization. For example, windows have role-based access like user, administrators, and guests. What are EXE and DLL? EXE is an executable file … Read more
Differentiate between Boosting and Bagging? Bagging and Boosting are variants of Ensemble Techniques. Bootstrap Aggregation or bagging is a method that is used to reduce the variance for algorithms having very high variance. Decision trees are a particular family of classifiers which are susceptible to having high bias. Decision trees have a lot of sensitiveness to … Read more
What is a stream and what are the types of Streams and classes of the Streams A Stream is an abstraction that either produces or consumes information. There are two types of Streams and they are: Byte Streams: Provide a convenient means for handling input and output of bytes. Character Streams: Provide a convenient means … Read more
List out some of the best practices for data cleaning? Some of the best practices for data cleaning includes, Sort data by different attributes For large datasets cleanse it stepwise and improve the data with each step until you achieve a good data quality For large datasets, break them into small data. Working with less … Read more
Can you explain project life cycle? A project has distinct phases when the range of activities required to carry out the project work differ. There is a distinct “start” phase, followed by an organizing and preparing phase. “Carrying out” is the actual execution part of the project. “Closing” phase makes sure the temporary activities related … Read more
What are the types of Machine Learning? Machine Learning can be mainly divided into three types: Supervised Learning: Supervised learning is a type of Machine learning in which the machine needs external supervision to learn from data. The supervised learning models are trained using the labeled dataset. Regression and Classification are the two main problems that … Read more