RSS DS+AI Section

The RSS DS+AI Section Substack is dedicated to the professional development, research advancements, and ethical considerations within the field of Data Science and AI. It provides updates on committee activities, industry news, ethical debates, and practical applications of AI, emphasizing engagement with the community and promoting best practices.

Ethics and Diversity in AI AI Policy and Regulation Generative AI and Research Developments Data Science Professional Development AI in Healthcare Open Source AI Projects AI Safety and Accountability Real-World AI Applications AI and Data Science Events AI for Social Good

The hottest Substack posts of RSS DS+AI Section

And their main takeaways
0 implied HN points • 01 Nov 21
  1. The November newsletter highlights the importance of ethics and diversity in data science.
  2. Exciting developments in data science include advances in deep learning techniques and real-world applications like medical image classification.
  3. Practical tips include tutorials on cleaning up data, ETL pipelines with Airflow, and deploying machine learning models into production.
0 implied HN points • 04 Oct 21
  1. The newsletter highlights the committee's activities, such as advocacy for data science practitioners and preparation for next year's conference.
  2. The newsletter covers various topics in data science like ethics, bias, diversity, and practical real-world applications of AI.
  3. The newsletter provides insights on recent developments in data science, including research papers, projects, and learning opportunities, as well as tips and advice for practitioners.
0 implied HN points • 13 Sep 21
  1. The UK's AI Strategy may not be aligned with the needs of the technical community.
  2. There is a need for better collaboration between academia and industry in AI research and development.
  3. Emphasizing open-source, supporting startups, and prioritizing ethics are key recommendations for the UK's AI Strategy.
0 implied HN points • 01 Sep 21
  1. Ethics, bias, and diversity are important topics in data science.
  2. New developments in data science like reinforcement learning and deep learning are happening constantly.
  3. Practical applications of data science are making a real-world impact, from face mask recognition to early dementia detection.
0 implied HN points • 01 Aug 21
  1. The newsletter covers a variety of data science topics and updates from the Royal Statistical Society Data Science Section.
  2. The August edition discusses ethics in data science, recent developments in the field, and real-world applications of AI.
  3. Practical projects, learning opportunities, and insights into driving ML into production are also highlighted in the newsletter.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
0 implied HN points • 01 Jul 21
  1. The newsletter shares curated data science reading materials for the month.
  2. There are updates on developments in data science, including ethics, technologies, and real-world applications.
  3. The newsletter also discusses understanding different approaches, driving machine learning into production, and the art of decision making.
0 implied HN points • 06 Jun 21
  1. The RSS aims to shape the government's AI strategy by highlighting the importance of statistics and data science.
  2. The RSS plans to gather input from data science professionals to inform the AI roadmap.
  3. The RSS will engage with government stakeholders through events and roundtables to refine their thinking on AI strategy.