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...
What is Human Learning? | Types of Human Learning
What is Human Learning?In cognitive science, learning is typically referred to as the process of gaining information through observation. And why do we need...
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...
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...
regularization and weight regularization in machine learning
regularization and weight regularization in machine learningRegularization in machine learning helps prevent a model from overfitting by discouraging it from learning overly complex patterns....
Support Vector Machine(SVM)
Support Vector MachineSupport vector machines are supervised learning models with associated learning algorithms that analyze data after which they are used for classification. Classification...
Probability distributions |Discrete probability distribution
Probability distributionsWe have explored the idea of probability, we can consider the concept of a probability distribution. In situations where the variable being...
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...
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...
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...
