[amp_mcq option1=”Data Encoding” option2=”Data Tokenization” option3=”Data Parsing” option4=”Data Transformation” correct=”option1″]<\/p>\n
The correct answer is A. Data Encoding.<\/p>\n
Data encoding is the process of converting data from one format to another. In the context of machine learning, data encoding is used to convert text data into a numerical format so that it can be used in machine learning algorithms.<\/p>\n
There are a number of different data encoding techniques, but the most common is one-hot encoding. One-hot encoding involves creating a new feature for each unique value in the text data. For example, if the text data contains the words “cat”, “dog”, and “horse”, then one-hot encoding would create three new features, one for each word.<\/p>\n
Data encoding is an important step in the machine learning process. It allows machine learning algorithms to work with text data, which is a common type of data.<\/p>\n
Here is a brief explanation of each option:<\/p>\n
[amp_mcq option1=”Data Encoding” option2=”Data Tokenization” option3=”Data Parsing” option4=”Data Transformation” correct=”option1″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[735],"tags":[],"class_list":["post-52966","post","type-post","status-publish","format-standard","hentry","category-data-collection-and-preprocessing","no-featured-image-padding"],"yoast_head":"\n