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 blog.reachsumit.com
Statistical vs Machine Learning vs Deep Learning Modeling for Time Series Forecasting - Sumit's Diary
| | iamirmasoud.com
Machine Learning Interview: Classical Algorithms
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| | Amir Masoud Sefidian
| | www.unofficialgoogledatascience.com
Towards optimal experimentation in online systems
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| | by CHRIS HAULK It is sometimes useful to think of a large-scale online system ( LSOS ) as an abstract system with parameters $X$ affecting r...
| | sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | jaketae.github.io
From ELBO to DDPM - Jake Tae
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| In this short post, we will take a look at variational lower bound, also referred to as the evidence lower bound or ELBO for short. While I have referenced ELBO in a previous blog post on VAEs, the proofs and formulations presented in the post seems somewhat overly convoluted in retrospect. One might consider this a gentler, more refined recap on the topic. For the remainder of this post, I will use the terms "variational lower bound" and "ELBO" interchangeably to refer to the same concept. I was heavily inspired by Hugo Larochelle's excellent lecture on deep belief networks.