acardosoj
acardosoj t1_j08ap5c wrote
Reply to comment by PredictorX1 in [D] Industry folks, what kind of development methodology/cycle do you use? by DisWastingMyTime
If you are working on a data science project, you would inevitably have project management activities in place. You need to report progress, need to manage costs, resources, schedule. You can do those in an ad hoc way without structure. But I guess that would lead to problems.
Imagine being asked for costs and progress estimates by a C-level. You would only be able to answer her if you keep track of these things. That's project management!
acardosoj t1_j080weh wrote
Reply to comment by PredictorX1 in [D] Industry folks, what kind of development methodology/cycle do you use? by DisWastingMyTime
CRISP is not a project management methodology, but more like a process. You would still need a project management methodology to manage resources.
We usually apply CRISP-DM (ML) within an agile framework.
acardosoj t1_iz97oqc wrote
Reply to comment by ThisIsMyStonerAcount in [D] If you had to pick 10-20 significant papers that summarize the research trajectory of AI from the past 100 years what would they be by versaceblues
You are right, MLE is the basis of everything and it's all work of Ronald Fisher, one the greatest statisticians of all time!
acardosoj t1_ixh18ye wrote
Reply to [D] Schmidhuber: LeCun's "5 best ideas 2012-22” are mostly from my lab, and older by RobbinDeBank
2022 Second Semester's Schmidhuber drama -> Check
See you, folks, in six months for the next Schmidhuber drama!
acardosoj t1_j1sibr6 wrote
Reply to [D] The case for deep learning for tabular data by dhruvnigam93
For me, the only time deep learning was worth all the work was when I had a large unlabelled dataset and I've done pre-training with it before the main task.