Towards AI

AUGUST 25, 2023

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. References [1] Artificial Intelligence Engineering [2] J. 16, 2020. [4] Russell and P.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. 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.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

The MLOps Blog

OCTOBER 20, 2023

In 2014, Project Jupyter evolved from IPython. Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. documentation.

SQL 52

SQL Database Data Scientist Python 52