Are you inspired to write your first TDS post before the end of 2024? We are always open to contributions from new authors..
And so, 2024 is (almost) in the books. It was a year of exciting transitions, both for TDS team and, in many significant ways, for the data science, machine learning, and artificial intelligence communities at large. We would like to thank all of you (readers, authors and followers) for your support and for keeping us busy and engaged with your great contributions and comments.
Unlike 2023, when a single event (the launch of ChatGPT just weeks before the beginning of the year) stopped everyone and shaped conversations for months, this year we experienced a more cumulative and fragmented sense of transformation. Professionals in industry and academia experimented with new tools and worked hard to find innovative ways to benefit from the rapid rise of LLMs; At the same time, they also had to navigate a challenging job market and a world where ai's footprint is increasingly approaching their own everyday workflows.
To help you understand these developments, we published more than 3,500 articles last year, including hundreds of new contributors. Our authors have an incredible ability to inject their unique perspective into any topic they cover, from big questions and current topics to more focused technical challenges, and we are proud of every publication we publish in 2024.
Within this massive creative output, some articles manage to resonate particularly well with our readers, and we are dedicating our final Variable issue to these: our most read, discussed and shared posts of the year. As expected, they cover a lot of land, so we have decided to organize them following the main themes that we have detected this year: learning and building from scratch, RAG and ai agents, professional growth and advances and innovation.
We hope you enjoy exploring our 2024 highlights and we wish you a relaxing end of the year. See you in January!
