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Category Archives: Machine Learning

Paired sample T-test: This test is also known as the dependent sample t-test. It is a statistical concept and is used to check whether the… Read More
In this article, we are going to see what is Convolution in Computer Vision. The Convolution Procedure We will see the basic example to understand… Read More
Prerequisite: Wumpus World in Artificial Intelligence The agent uses logical inference to identify which squares are safe but makes plans via A* search. We’ll show… Read More
It is possible to reduce first-order inference to propositional inference once rules for inferring nonquantified sentences from quantified sentences are established. The first concept is… Read More
Prerequisite: Wumpus World in Artificial Intelligence To create a hybrid agent for the wumpus world, the capacity to deduce various aspects of the state of… Read More
Prerequisite:  AI | Proofs and Inferences in Proving Propositional Theorem Wumpus World in Artificial Intelligence In this article, we will discuss the inference algorithms that… Read More
Given how difficult translation may be, it should come as no surprise that the most effective machine translation systems are created by training a probabilistic… Read More
This article discusses how to use inference rules to create proof—a series of conclusions that leads to the desired result. The most well-known rule is… Read More
We begin by defining the lexicon, or a list of terms that are permitted. The words are categorized into the lexical categories that dictionary users… Read More
Many unforeseeable external occurrences can place us in unforeseen circumstances in real life. Many games, such as dice tossing, have a random element to reflect… Read More
Humans’ intellectual capacities have been engaged by games for as long as civilization has existed, sometimes to an alarming degree. Games are an intriguing subject… Read More
Machine Learning and Artificial Intelligence have raised the level of applications. Many organizations are working on Artificial Intelligence to create an impact in society. Machine… Read More
Introduction: Introduced in the 1980s by Yann LeCun, Convolution Neural Networks(also called CNNs or ConvNets) have come a long way. From being employed for simple… Read More
Machine learning is an area of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way people learn,… Read More
The subject of reinforcement learning has absolutely grown in recent years ever since the astonishing results with old Atari games deep Minds victory with AlphaGo… Read More

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