by YData | Nov 25, 2022 | Uncategorized
If you’ve worked in the AI industry with real-world data, you’d understand the pain. No matter how streamlined the data collection process is, the data we’re about to model is always messy. According to IBM, the 80/20 Rule holds for data science as well. 80% of...
by YData | Oct 21, 2022 | Uncategorized
According to the 2021 enterprise trends in machine learning report by Algorithmia, 83% of all organizations have increased their AI/ML budgets year-on-year, and the average number of data scientists employed has grown by 76% over the same period. However, the process...
by YData | Sep 2, 2022 | Uncategorized
I’m not going to list Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow, PyTorch, etc. You probably know about these already. There is nothing wrong with these libraries; they’re already the bare minimum essential for data science using python. And the...
by YData | Jun 10, 2022 | Uncategorized
Flag all your data quality issues by priority in a few lines of code “Everyone wants to do the model work, not the data work” — Google Research According to Alation’s State of Data Culture Report, 87% of employees attribute poor data quality to why most organizations...
by YData | May 11, 2022 | Uncategorized
According to the 2021 enterprise trends in machine learning report by Algorithmia, 83% of all organizations have increased their AI/ML budgets year-on-year, and the average number of data scientists employed has grown by 76% over the same period. However, the process...
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