FAQ on Artificial Intelligence

NLP stands for Natural Language Processing, which is a branch of artificial intelligence. It enables machines to understand, interpret, and manipulate the human language. Components of NLP: There are mainly two components of Natural Language processing, which are given below: Natural Language Understanding (NLU): It involves the below tasks: To map the input to useful … Read more

Dropout Technique: The dropout technique is one of the popular techniques to avoid overfitting in the neural network models. It is the regularization technique, in which the randomly selected neurons are dropped during training. One technique to avoid overfitting in neural networks is dropout. Dropout is a regularization technique used during the training of neural … Read more

When the machine learning algorithm tries to capture all the data points, and hence, as a result, captures noise also, then overfitting occurs in the model. Due to this overfitting issue, the algorithm shows the low bias, but the high variance in the output. Overfitting is one of the main issues in machine learning. Methods … Read more

Turing Test. The assessment used to test the intelligence of a machine is commonly known as the Turing Test. This test, proposed by Alan Turing in 1950, evaluates a machine’s ability to exhibit behavior indistinguishable from that of a human. In the test, a human evaluator interacts with both a machine and another human without … Read more

Turing test is one of the popular intelligence tests in Artificial intelligence. The Turing test was introduced by Alan Turing in the year 1950. It is a test to determine that if a machine can think like a human or not. According to this test, a computer can only be said to be intelligent if … Read more