unsupervised learning in machine learning|unsupervised learning algorithms| unsupervised learning
unsupervised learning in machine learningUnsupervised learning:- Unlike supervised learning, in unsupervised learning, there is no labeled training data to learn from and no prediction...
What is the CNN architecture in machine learning?
What is the CNN architecture in machine learning?CNNs are widely used in different fields, such as image recognition, classification, and vision in computers, in...
Type of machine learning Model| types of machine learning supervised unsupervised
Type of machine learningAs highlighted in Figure 1.3, Machine learning can be classified into three broad categories:Supervised learning- Also called predictive learning. A machine...
What are Bayesian belief networks? |How does a Bayesian belief network learn?
What are Bayesian belief networks?Bayesian belief networks specify joint conditional probability distributions. They allow class conditional independencies to be defined between subsets of variables....
Define some examples of linear algebra in machine learning.
Define some examples of linear algebra in machine learning.Some examples of linear algebra in machine learning are as follows-Linear regressionRegularizationPrincipal component analysis (PCA)Singular-value decomposition...
Deep Neural Networks | Principal Components of a Neural Network
What do you understand by deep neural networks?Neural networks (NN) are powerful statistical learning models that can solve complex classification and regression problems. A...
Bayesian classifiers |Naive Bayes classifiers
What are Bayesian classifiers?Bayesian classifiers are statistical classifiers. They can predict class membership probabilities, such as the probability that a given tuple belongs to...
Probability Density Function – Machine learning
What do you mean by probability density function?In a discrete random variable, probabilities are associated with particular individual values of the random variable, and...
Batch Normalization | Write down the properties of batch normalization.
Batch NormalizationWhat do you understand by batch normalization? Explain.Batch normalization is a recently popularized method for accelerating deep network training by making data standardization...
supervised learning in machine learning |supervised learning algorithms| supervised learning
supervised learning in machine learningSupervised Learning:- The major motivation of supervised learning is to learn from past information. So what kind of past...
