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Reader, let me introduce you to Big Data. Big Data, meet Reader. Actually, there's a bit more to it than that. Big Data systems involve a wide range of technologies that can only be understood when ...

Data-efficient image classification is a challenging task that aims to solve image classification using small training data. Neural network-based deep learning methods are effective for image ...

These materials constitute the textbook for NICO 101 - Introduction to Programming for Big Data. This course will teach you the basics of programming in Python, visualizing data, and web-scraping as ...

All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) Igor ...

References [1] A genetic programming-based method for image classification with small training data. Knowledge-Based Systems (2024). [2] Genetic programming for feature extraction and construction ...

Image classification methods using unbalanced data can produce results with a performance bias. If the class representing important objects-of-interest is in the minority class, learning methods can ...