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Data Noise and Label Noise in Machine Learning
Why should we care about data noise and label noise in machine learning? Tremendous achievements have brought machine learning to various applications. This should motivate and accelerate research…
Read more at Towards Data Science | Find similar documentsSignal : Noise in ML
Lately, I have been running a lot of Machine Learning experiments both at work and on Kaggle. One thing has become clear: it’s really hard to confidently say Model A is better than Model B. Typically…...
Read more at Towards Data Science | Find similar documentsMy Favorite Way to Smooth Noisy Data With Python
Nearly all real-world data is noisy. What do I mean by noisy? Consider the following simple example: I’ve got a mass attached to a spring — I pull on the mass (stretching the spring) and then let go. ...
Read more at Python in Plain English | Find similar documentsThe Signal and the Noise
Once upon a time, the owner of a shoe store wanted to know how many shoes of each size he should buy. Luckily, a friendly statistician came to his aid. “That’s easy!” he said, “We have a simple…
Read more at Towards Data Science | Find similar documentsInformation in Noise
Two Techniques for Visualizing Many Time-Series at Once Imagine this: you’ve got a bunch of line charts, and you’re confident that there’s at least one trend hiding somewhere in all that data. Whethe...
Read more at Towards Data Science | Find similar documentsNoise is Not an Enemy of Data. Noise IS Data.
Second, there is data, which is the bits of reality filtered through the data collection process. Data is subset of the data, but not the whole thing. Third, there is the model, which may be…
Read more at Towards Data Science | Find similar documentsData Curiosity
Here’s a question for you — when did you learn to read and write? Odds are it was one of the first things you remember learning, and that makes sense: learning to read and write is foundational for…
Read more at Becoming Human: Artificial Intelligence Magazine | Find similar documentsSmall data, large uncertainty
How to estimate the uncertainty of your model's statistics via sampling distributions, and why it matters.
Read more at Towards Data Science | Find similar documentsThe Data Question
How much data do we need to build this computer vision classifier? This is the data question. In my experience the data question comes up in almost every computer vision project we’ve taken on, and…
Read more at Towards Data Science | Find similar documentsCleaning Noise from Data Using Python
Identify the Noise: Before diving into cleaning techniques, it’s essential to understand the nature of the noise present in your data. Noise can manifest in various forms, such as outliers, missing va...
Read more at Python in Plain English | Find similar documentsThe Problem With Data
Data. Data. Data. Have we got data for this? Can we check the data? I need to back up my agenda. The numbers look off. Hide the data. Today we’re seeing unprecedented attention on this four lettered…
Read more at Towards Data Science | Find similar documentsPredictable Noise : A Flaw in Machine Judgement
Predictable Noise : A Flaw in Machine Judgement Photo by Sasun Bughdaryan on Unsplash … the key advantage of algorithms is that they are noise-free: Unlike humans, a formula will always return the sa...
Read more at Becoming Human: Artificial Intelligence Magazine | Find similar documents- «
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