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15/08/2022

NLP – Word segmentation

Word segmentation :-

This is the act of taking a string of text and deriving word forms from it. Example: A person scans a handwritten document into a computer. The algorithm would be able to analyze the page and recognize that the words are divided by white spaces.

https://www.techjunkgigs.com/nlp-word-segmentation/

This is the act of taking a string of text and deriving word forms from it. Example: A person scans a handwritten document into a computer.

10/08/2022

The chi-squared test determines the difference between observed and expected data.
This test can also be used to determine whether it correlates to the categorical variables in our data.
It helps to find out whether a difference between two categorical variables is due to chance or a relationship between them.

https://www.techjunkgigs.com/what-is-chi-square-test/

statistical method, is used to test if a sample of data came from a population with a specific distribution.

25/07/2022

Corpus

In linguistics and NLP, corpus (literally Latin for body) refers to a collection of texts. Such collections may be formed of a single language of texts, or can span multiple languages -- there are numerous reasons for which multilingual corpora (the plural of corpus) may be useful. Corpora may also consist of themed texts (historical, Biblical, etc.). Corpora are generally solely used for statistical linguistic analysis and hypothesis testing.

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23/07/2022

The field of study that focuses on the interaction between human language and computer is called Natural language processing.

https://www.techjunkgigs.com/nlp-natural-language-processing-intro/

The field of study that focuses on the interaction between human language and computer is called Natural language processing.

19/02/2022

Window functions are similar to the aggregation done in the GROUP BY clause. However, rows are not grouped into a single row, each row retains their separate identity.

https://www.techjunkgigs.com/sql-window-function-part-1/

window function in SQL, it is useful for data analyst for data preprocessing or generation accumulated data with lots of information

06/10/2021

➡️error(X) = noise(X) + bias(X) + variance(X)

In very simple word - Bias, when we train the model on the data being used for training(Train data), error between predicted value and actual value is termed as Bias.

And what is means if bias is high or low, So here it is :

👉 If the Bias is high that means model is not able to predict the output values of train data correctly
And
👉if the Bias is low which means model is able to predict output value of train data correctly or the model is copying all the data.

Variance is opposite of Bias [Variance = Accuracy]

Variance, the error between predicted value and actual value of test data or unseen data.

here is full article :
https://www.techjunkgigs.com/bias-and-variance-in-machine-learning/

Bias, when we train the model on the data being used for training, error between predicted value and actual value is termed as Bias.

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