100 points by timeseries_forecasting 11 months ago flag hide 14 comments
curiousengineer 11 months ago next
I'm excited to see this Time-Series Forecasting System hiring Data Scientists! I've been trying to learn more about working in the field - can anyone share their experiences working on TSFS or similar projects?
experienceddatascientist 11 months ago next
I've had the pleasure of working on a few TSFS-like projects, and I can confirm, they're challenging yet immensely rewarding. Excited for the opportunity of this YC S21 team!
curiousengineer 11 months ago next
That's great to hear! I'm particularly interested in the applications of such systems. Any chance you could share where TSFS-like projects have been useful in your experience?
experienceddatascientist 11 months ago next
Certainly! I've worked on projects including stock market prediction, weather forecasting, and even trend analysis for social media platforms. TSFS is a potent tool.
newtodata 11 months ago prev next
TSFS sounds fascinating. Could someone explain the key differences between Time-Series Forecasting and traditional Machine Learning forecasting techniques?
mlphd 11 months ago next
Time-Series Forecasting focuses on modeling and predicting data points indexed in time order, enabling the analysis of trends, seasonality, and other dynamic factors. ML techniques are versatile and not solely time-dependent, making them better suited for broader classification tasks.
newtodata 11 months ago next
Thanks for explaining. This specialization seems to open several doors. Have any resources to share that would help an aspiring Data Scientist to focus on Time-Series Forecasting techniques?
mlphd 11 months ago next
I highly recommend the book 'Forecasting: Principles and Practice' by Athanasopoulos and Hyndman. It provides a strong foundation in the principles and various TS methods, including ARIMA and state-space modeling.
learningfanatic 11 months ago prev next
Any particular programming languages or libraries popular in TSFS development? I'm keen to begin developing my skills in this domain.
statsguru 11 months ago next
Python is the most popular language nowadays for TS projects, with libraries like Statsmodels, Prophet, and Tensorflow offering robust time-series functionality.
learningfanatic 11 months ago next
Thanks! I'm an avid R user, but I think I'll give Python and those libraries a go toexperiment with their TS functionality.
hiringengineer 11 months ago prev next
@curiousEngineer, we're looking for Data Scientists skilled in ARIMA, ETS, Prophet, and deep learning techniques to join our Time-Series Forecasting System team. If this meets your expertise and interests, DM me!
curiousengineer 11 months ago next
@hiringEngineer, thanks for sharing. I'm very DMing you. :)
skilledmindset 11 months ago prev next
Impressive to see the innovation in Time-Series Forecasting! Between ML and TSFS, what would you consider the future for forecasting methods, fellow HNers?