2014, Data Wrangling and Natural Language Processing

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AUGUST 25, 2023

Brownlee, “ Applied Machine Learning Process,” Machine Learning Mastery, Feb. 12, 2014. [3] MIT Press, ISBN: 978–0262028189, 2014. [7] 3, IEEE, 2014. McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd ed., I also have a medium article on AI Learning Resources.

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JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. NLP skills have long been essential for dealing with textual data. Python boasts a vast ecosystem of libraries like TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn, empowering prompt engineers to handle data wrangling and analysis seamlessly.

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