I learned about small and Big data in Machine learning and Deep learning.

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When data points are 100s to 1000s then it is the small dataset. When data points are 1000s to 100000s then it is the big dataset.

I learned in this lecture about small datasets in machine learning and big datasets in deep learning.

I learned in this video about Small datasets in Machine learning and Big datasets in Deep learning.

SMALL DATASETS FOR ML:The number of rows and columns in a dataset varies depending on the application and the data source. There is no fixed number of rows or columns that define a dataset as small. However, as an example, a dataset with 20 columns and 10 rows would be considered small, even though the total number of cells is 200. BIG DATASETS FOR DL:In terms of the number of rows and columns in a big dataset, it can range from tens of thousands to millions or even billions of rows. The number of columns, or features, can also vary depending on the specific problem and the nature of the data being collected. Big datasets are often characterized by their large sample size, which allows deep learning models to capture complex patterns and generalize well.ALLAH PAK aap ko sahat o aafiyat wali lambi umar ata kray aor ap ko dono jahan ki bhalian naseeb farmaey aur aap ke walid-e-mohtram ko karwat karwat jannat ata farmaye,Ameen.