# New Technology

Trending Technology Machine Learning, Artificial Intelligent, Block Chain, IoT, DevOps, Data Science

## Atomic/Complex Sentence in Artificial Intelligence

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Term = function (term 1 ,....term n ) or constant or variables  A logical expression that refers to an object            - LeftL...

## Bayesian Network in Machine Learning

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It is a type of Graphical model which represent certain independence relation or conditional independence relationship between the differ...

## Block Chain Developer

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Who is a Blockchain Developer? → A developer responsible for developing and optimizing blockchain protocols, crafting the architecture o...

## First-order logic

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While propositional logic assumes the world contains facts , first-order logic (like natural language) assumes the world contains  - Ob...

## Pros ans cons propositional logic

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Propositional logic is declarative Propositional logic allows partial/disjunctive/negated information  - (unlike most data structure an...

## Introduction of Regression in Data Science

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Introduction  Regression Analysis is the study of relationships between variables Going beyond categorical variables Model based r...

## Bayesian Learning in Machine Learning

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Probability for Learning Probability for classification and modeling concepts. Bayesian probability  - Notion of probability interpret...

## Inferential Statistics-ANOVA and TOI

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Introduction So far statistical inference was confined to input variable that could take up two possible values (two sample tests...

## Logic of AI

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What is logic ? - We can also think of logic as an "algebra" for manipulating only two value : true(T) and false (F) We wil...

## Syntax , Semantics and Entailment

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Logic in general Logic's are formal languages for representing information such that conclusion can be drawn. Syntax defines the ...

## Collaborative Filtering in Machine Learning

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Recommender System :-   Many of you have used e-commerce science like amazon flip cart and other site and main have seen recommender syst...

## Confidence Intervals

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Introduction A confidence interval is a range of values, derived from sample statistics, that is likely to contain the value of an unkn...

## Type 1 and Type 2 Errors

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Type Ⅰ Error :-   - When the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I e...

## The Knowledge-based agent

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The knowledge-based agent include a knowledge base and an inference system. A knowledge base is a set of representations of facts of the ...

## The Wumpus World in AI

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The Wumpus World environment - The Wumpus is a computer game - The agent explores a cave consisting of rooms connected by passageways...

## Feature Extraction in Machine Learning

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Feature Extraction -definition  Given a set of features F = {𝒳1,.....,𝒳N}    the Feature Extraction ("Construction") prob...