Recommended articles: Data Science, Artificial Intelligence, Deep Learning and Neural Networks



I. Research and data science skills
  • Shrinking deep learning’s carbon footprint (MIT News).
  • Stata/Python integration part 6: Working with APIs and JSON data (STATA Blog).
  • COVID 19 impact on U.S. real estate markets: enhancing business storytelling with data (Tryolabs)
  • Transformers are Graph Neural Networks (The Gradient).
  • Will quantum computing drive the automotive future? (McKinsey)
II. Responding to Global Challenges in Food with AI
  • This is how AI could feed the world’s hungry while sustaining the planet (WEF).
  • An inside look: The World Food Programme’s data-driven response to hunger during COVID-19 (Tableau).
III. Tools & Libraries
  • Reinforcement Learning frameworks: Proximal Policy Optimization using RLlib-Ray (Toward Data Science).
  • Please allow me to introduce myself: Torch for R (Medium).
  • Running notebook pipelines in JupyterLab (Medium).


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