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Taraqur Rahman's avatar

Awesome summary for 2022! I really enjoyed you inputing your thoughts for each paper! Already looking forward to 2023 summary 😁

Sebastian Raschka, PhD's avatar

Glad to hear, and thanks for the constructive feedback! Likewise, it was a lot of fun to write these. I will make sure to do the yearly paper-roundup on a yearly basis 😊

Sameer Kesava's avatar

Many thanks for the post, insightful as always. Could you comment on developments in time-series modelling and prediction? Do you think this field has matured? I am especially interested in multivariate time-series modelling but I don't see many progress updates in this field.

Sebastian Raschka, PhD's avatar

Glad you liked it! I am not working on time series problems, but I think that matrix profiles have become the go-to as feature inputs in recent years. There are also interesting developments in the deep tabular domain that I summarized here: https://sebastianraschka.com/blog/2022/deep-learning-for-tabular-data.html. It will be interesting to transfer these methods to time series data.

Sameer Kesava's avatar

thank you, will refer to the link.

Sebastian Raschka, PhD's avatar

For those who are wondering about Ahead of AI #5 ... it's coming out Monday! Just putting on some final polish (and shortening it a bit), and then it's good to go :)

Robin Cole's avatar

Really fantastic and clear summaries of the top paper, thanks and keep them coming!