The author makes a call out to the online book Forecasting: Principles and Practice which is a great reference when conducting time series analyses. https://otexts.com/fpp3/
I found it to be way too u...
Similar Articles (10 found)
🔍 74.3% similar
I'm curious why we seem convinced that this is a task that is possible or something worthy of investigation.
I've worked on language models since 2018...
🔍 67.6% similar
But these forecasting models require the data to be stationary. So first, we will discuss what stationarity in a time series actually is, why it is re...
🔍 64.9% similar
First, thanks to the publisher and authors for making this freely available!
I retired recently after using neural networks since the 1980s. I still s...
🔍 64.3% similar
All pretty models are wrong, but some ugly models are useful
Wrong, but useful
Contrary to our intuition, a theory of physics can be useful—making acc...
🔍 62.4% similar
In recent years, Deep Learning has made remarkable progress in the field of NLP.
Time series, also sequential in nature, raise the question: what happ...
🔍 59.6% similar
What is a good algorithm-to-purpose map for ML beginners? Looking for something like "Algo X is good for making predictions when your data looks like ...
🔍 59.2% similar
> the generation of 281,128 augmented examples, from which 1,000 were
held out as a benchmark test set.
This model is trained on a custom dataset of 2...
🔍 59.1% similar
The Pattern-Seeking Fallacy
What do these have in common?
- “This pitcher has retired 5 of the last 7 batters.”
- “We tried 10 AdWords variants and co...
🔍 58.9% similar
This article doesn't talk much about testing or getting training data. It seems like that part is key.
For code that you think you understand, it's be...
🔍 58.1% similar
The Bitter Lesson is Misunderstood
Together, the Bitter Lesson and Scaling Laws reveal that the god of Compute we worship is yoked to an even greater ...