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  • Classifying Documents on a Graph using GNNs - Avi Aminov | PyData Global 2021PyData24:00Jan, 2022435backgroundvideo thumbnail for: Classifying Documents on a Graph using GNNs - Avi Aminov | PyData Global 2021
  • Some Attention for Attenuation Bias - Ruben Mak | PyData Global 2021PyData27:00Jan, 2022231backgroundvideo thumbnail for: Some Attention for Attenuation Bias - Ruben Mak | PyData Global 2021
  • Simplification as a Service - Vasu Sharma | PyData Global 2021PyData30:17Jan, 2022301backgroundvideo thumbnail for: Simplification as a Service - Vasu Sharma | PyData Global 2021
  • AIQC; Deep Learning Experiment | PyData Global 2021PyData24:20Jan, 2022296backgroundvideo thumbnail for: AIQC; Deep Learning Experiment | PyData Global 2021
  • Wisdom of the Crowd: Amplifying Human Intelligence With AI - Cor Zuurmond | PyData Global 2021PyData22:09Jan, 2022289backgroundvideo thumbnail for: Wisdom of the Crowd: Amplifying Human Intelligence With AI - Cor Zuurmond | PyData Global 2021
  • An Analysis of Societal Bias in Sota NLP Transfer Learning | PyData Global 2021PyData30:30Jan, 2022328backgroundvideo thumbnail for: An Analysis of Societal Bias in Sota NLP Transfer Learning | PyData Global 2021
  • Computations as Assets - a New Approach to Reproducibility and Transparency | PyData Global 2021PyData26:43Jan, 2022259backgroundvideo thumbnail for: Computations as Assets - a New Approach to Reproducibility and Transparency | PyData Global 2021
  • conda-forge in 2021 - Eric Dill | PyData Global 2021PyData25:08Jan, 2022288backgroundvideo thumbnail for: conda-forge in 2021 - Eric Dill | PyData Global 2021
  • Components, Workflows, and Cookbooks - Omri Fima | PyData Global 2021PyData26:48Jan, 2022294backgroundvideo thumbnail for: Components, Workflows, and Cookbooks - Omri Fima | PyData Global 2021
  • Building Responsible Data Science Workflows | PyData Global 2021PyData01:53:58Jan, 2022248backgroundvideo thumbnail for: Building Responsible Data Science Workflows | PyData Global 2021
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