What is a neural network method used in machine learning in AI?

Neural networks, as the name suggests, are modeled on neurons in the brain. They use artificial intelligence to untangle and break down extremely complex relationships. What sets neural networks apart from other machine-learning algorithms is that they make use of an architecture inspired by the neurons in the brain.

Which method can we use to best fit a data in logistic regression?

Just as ordinary least square regression is the method used to estimate coefficients for the best fit line in linear regression, logistic regression uses maximum likelihood estimation (MLE) to obtain the model coefficients that relate predictors to the target.

What is deep learning architecture?

Deep learning is represented by a spectrum of architectures that can build solutions for a range of problem areas. These solutions can be feed-forward focused or recurrent networks that permit consideration of previous inputs.

How is neural network used in deep learning?

Neural networks are used to solve complex problems that require analytical calculations similar to those of the human brain. The most common uses for neural networks are: Classification. NNs label the data into classes by implicitly analyzing its parameters.

How neural network is used for machine learning?

Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

Which of the following methods is used to find the best fit line for data in linear regression?

least squares method
Line of best fit refers to a line through a scatter plot of data points that best expresses the relationship between those points. Statisticians typically use the least squares method to arrive at the geometric equation for the line, either though manual calculations or regression analysis software.