Technical Interview Questions
Learning rate: The learning rate implies how fast the network learns its parameters. Momentum: This parameter helps in coming out of the local minima and smoothening the jumps while gradient descents. Number of epochs: This shows the number of times the entire training data is fed to the network. Here, the training is referred to … Read more
Artificial Neural Networks, as the name suggests, are brain-inspired systems that are intended to replicate the way humans learn. Neural networks consist of input and output layers, as well as a hidden layer consisting of units that transform the inputs into optimal outputs. They are excellent tools to find patterns that are far too complex … Read more
The advantages of an expert system are: Easy availability Low production costs Greater speed and reduced workload They avoid motions, tensions, and fatigue They reduce the rate of errors. When discussing the advantages of expert systems in an artificial intelligence interview, you can highlight the following points: Knowledge Representation: Expert systems can encapsulate and represent … Read more
An expert system is an Artificial Intelligence program that has an expert-level knowledge about a specific area of data and its utilisation to react appropriately. These systems tend to have the capability to substitute a human expert. Their characteristics include: High performance Consistency Reliability Diligence Unbiased nature An expert system is a type of artificial … Read more
The most popular domains in AI are: Machine Learning Neural Networks Robotics Expert Systems Fuzzy Logic Systems Natural Language Processing In an artificial intelligence interview, when asked about popular domains of AI, you can highlight several key areas where AI is making significant advancements and applications. Some popular domains of AI include: Natural Language Processing … Read more