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Machine Learning

This Website Machine Learning has been written strictly accordance with the Latest Syllabus and Latest Pattern Prescribed by R.G.P.V. Bhopal.
This Subject is very wide and rather difficult for the students to collect suitable material for the Preparation of the subject from various numbers of books. An attempt has been made by us to provide the complete syllabus in a Sirfpadhai.in
The Engineers of the Letest Century are supposed to be more diversified in their knowledge. They are expected to be highly versatile in their compatibility.
By Keeping this view in our mind, We have prepared this Content to Make Engineering easy for students with easy language, which makes the subject more interesting.

Reinforcement learning algorithms in machine learning

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...
unsupervised learning

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...
Type of machine learning

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...
Application of Machine learning With Example

Application of Machine Learning With Example| Application of Machine learning

Application of Machine Learning with ExampleWherever there is a substantial amount of past data, machine learning can be used to generate actionable insight from...
How does a Bayesian belief network learn?

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....
Probability density function

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...
supervised learning in machine learning

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?

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...
What is the CNN architecture in machine learning?

What is the CNN architecture in machine learning?

Write a short note on Convolutional Neural Networks.A convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied...
Regularization and weight regularization in machine learning

regularization and weight regularization in machine learning

What do you mean by regularization? Explain.Regularization is a very important technique to prevent overfitting in machine learning problems. From a theoretical point of...