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Log Link vs Log Transformation in R — The Difference that Misleads Your Entire Data Evaluation

distributions are essentially the most commonly used, numerous real-world data unfortunately will not be normal. When faced with extremely skewed data, it’s tempting for us to utilize log transformations to normalize the distribution...

Kim Jong-min, manager of Ravelup, “We’d like a full-stack AI engineer… We’d like to have the option to see all the system.”

Kim Jong-min, general manager of Rabble Up, introduced the corporate's services on the 'AI Festival' held at Kyungpook National University on the twenty eighth and announced plans to recruit recent personnel. RavelUp provides 'Backend.AI',...

Raon Road “Constructing a transportation-specific vision AI that overlooks all the city”

Raon Road, a subsidiary of Raon People (CEO Seok-joong Lee), announced that it's the only and first in Korea to construct an intelligent transportation system (ITS) based on ‘artificial intelligence (AI) digital twin’. ...

GPT-Engineer: Generate an Entire Codebase with 1 Prompt!

Consider a project. Type a prompt. Get all of the files generated in seconds!We’ve seen how ChatGPT can generate code for us. Then we’ve seen how Auto-GPT could make GPT-4 fully autonomous. And now...

12 Ways to Handle Missing Values in Data 1. Delete the row that has missing values 2. Delete your entire column that has missing values 3. Impute...

Many machine learning algorithms fail if the dataset comprises missing values. Also, sometimes missing records impact the accuracy of the entire evaluation. That's the reason it is rather necessary to handle missing values in...

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