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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…
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Signal : 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…...
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My 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. ...
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The 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…
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Noise 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…
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Data 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
Small data, large uncertainty
How to estimate the uncertainty of your model's statistics via sampling distributions, and why it matters.
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The 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…
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Cleaning 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...
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The 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…
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Predictable 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
Untidy data
It is hard to manipulate, model and visualize raw data. This is because raw data is messy. A lot of time and effort is spend in preparing data to make it ready for manipulation, modelling and…
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Data Whispering
Warning: There is no magical formula or Holy Grail here, though a new world might open the door for you. We always say “let the data speak for themselves”. But data can either shout loud or…
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Chapter 4 Noise
In English, “noise” means an unwanted or unpleasant sound. In the context of signal processing, it has two different senses: As in English, it can mean an unwanted signal of any kind. If two signals i...
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Be friends with your data
In this post we’ll walk through a number of different `Python` functions, methods and attributes using Pandas library, which are important right after uploading the data for exploratory data analysis…...
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Noise and dB
In this chapter we will discuss noise, including how it is modeled and handled in a wireless communications system. Concepts include AWGN, complex noise, and SNR/SINR. We will also introduce decibels ...
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The Sound that Data Makes
Featured in chapter 11 in my book “Intuitive Machine Learning and Explainable AI”, available here. It is common these days to read stories about the sound of black holes, deep space or the abyss. But ...
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8 Ways To Royally Flummox Your Data — and Not Even Know It
Stories of Data Quality Problems in the area of Completeness, Coverage, Consistency, Duplication, Timeliness, Volumetrics, Accuracy, Precision, Correctness
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The Value Of Data
Businesses throughout the world are rapidly becoming aware that their greatest commodity lies within the data they collect and store. The five most valuable listed companies in the world: Alphabet…
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Sources of Bad Data And What to Do About It
In any machine learning problem, having good data is just as important as having a good model. Or, as the famous saying about bad data goes — garbage in, garbage out. In this article we explore some…
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3 Methods to Solve Your Data Quality Problem Using Python
A guide on how you can solve your data quality problem using Python. Continue reading on Python in Plain English
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Data Drift — Part 1: Types of Data Drift
This post explains the concept of Data Drift and how it can cause model performance degradation, how to identify data drift, and model monitoring plans
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Data drift: It can come at you from anywhere
The concept of data drift is illustrated visually in various shapes and forms in the context of machine learning applied to industrial problems with time-series data. This is a critical consideration ...
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What is Data Quality?
Data Quality defines how data sets can be trusted, understood and utilized effectively for their intended purpose. In Supply Chain Management, data plays a crucial role in detecting issues and making ...
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