Best machine learning model for sparse data
Best machine learning model for sparse dataAre you tired of dense data taking over your life? Do you find yourself drowning in a sea...
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...
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....
Explain the working of backpropagation neural networks with neat architecture and flowchart.
Architecture of backpropagation networkA back propagation neural network is a multilayer, feedforward neural network. It is made up of an input layer, a hidden...
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...
Reinforcement learning algorithms in machine learning|Reinforcement learning algorithms| Reinforcement learning
Reinforcement learning algorithms in machine learningReinforcement learning:- We have seen babies learn to walk without any prior knowledge of how to do it. Often...
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...
ML and ai courses – SirfPadhai
Top Machine Learning & AI Courses: A Complete Guide for Beginners and ProfessionalsArtificial Intelligence (AI) and Machine Learning (ML) are transforming the world faster...
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...
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...
