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...
how to learn ai and ml: learn artificial intelligence
learn artificial intelligenceHow to Learn Artificial Intelligence (AI) and Machine Learning (ML) from ScratchArtificial Intelligence (AI) and Machine Learning (ML) are transforming industries worldwide...
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...
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...
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...
Explain the term training test and validation sets.
Explain the term training test and validation sets.Choosing the right dataset for a given classification task is of crucial importance for the generalization performance....
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...
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...
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...
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...
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