Chemometrics & Machine Learning in Copenhagen's Latest YouTube Videos & Shorts

@qualityandtechnology

134 videosJoined Sep 6, 2010Last updated Nov 10, 2026

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SubsSubscribers7.31K

30in 28d

ViewsTotal Views1.22M1,223,746

3.82Kin 28d

Est. revenueEst. ad revenue (USD)$8$8

Down 4%vs prior 14d

Last updated Nov 10, 2026

Overview Videos About

As of 2026-11-10, Chemometrics & Machine Learning in Copenhagen has 7,310 subscribers, 1,223,746 total views, and 134 videos. Ranked #4,639,255 worldwide, #5 in Dominica and #244,873 in Education by subscribers.

Chemometrics & Machine Learning in Copenhagen’s most recent 48 uploads

The latest upload vidIQ has for Chemometrics & Machine Learning in Copenhagen is “A Walk Through the Bilinear Modeling Cycle for Batch Processes”, a long-form video published Oct 28, 2026.
These are Chemometrics & Machine Learning in Copenhagen’s 48 most recent public uploads vidIQ has data for, published between Sep 30, 2020 and Oct 28, 2026 (48 long-form videos).
Median views across these 48 uploads: 568. 24 videos are above that median and 24 below.
Most viewed in the sample: “Fluorescence in one hour” (15,172 views, Feb 3, 2021). Least viewed: “A Walk Through the Bilinear Modeling Cycle for Batch Processes” (84 views, Oct 28, 2026).
Median length: 46:39 for 48 long-form videos.
In this sample, Chemometrics & Machine Learning in Copenhagen’s consecutive uploads were a median of 26 days apart (shortest gap 0 days, longest 181 days).
Views are lifetime totals as of Nov 10, 2026, so newer uploads have had less time to collect them. These figures describe only the videos listed here, not the whole channel, and do not show why any video performed as it did. Dates are UTC.

Chemometrics & Machine Learning in Copenhagen’s most recent uploads, newest first, with publication date (UTC), format, lifetime views and length
Video	Published (UTC)	Format	Views	Length
A Walk Through the Bilinear Modeling Cycle for Batch Processes	Oct 28, 2026	Long-form	84	50:37
From Design of Experiments to ANOVA Simultaneous Component Analysis	Oct 13, 2026	Long-form	339	1:03:24
Crunching Numbers, Not Nerves: Making Stats Courtroom-Friendly	Jun 17, 2026	Long-form	137	45:29
All sparse models are wrong, but some are useful	Jan 5, 2026	Long-form	423	54:41
Probabilistic Tensor Decomposition	Oct 6, 2025	Long-form	339	54:27
Introduction to R Markdown	Jul 25, 2025	Long-form	278	11:12
Introduction to jamovi	Jul 25, 2025	Long-form	570	7:29
ChemTastesDB – a curated database for the prediction of molecular taste	Jul 9, 2025	Long-form	295	39:56
Semi-Automated Machine Learning for Calibration Model Development	Apr 23, 2025	Long-form	287	58:26
Monday Webinar: Causal latent space-based models in the Quality by Design paradigm	Mar 28, 2025	Long-form	227	46:28
There is no limit of detection (LOD)	Mar 25, 2025	Long-form	175	4:39
Three-way data reduction based on essential information - Monday webinar	Mar 5, 2025	Long-form	388	45:45
Causality in latent space: PLS in digitalized Industry 4.0 by Alberto Ferrer	Feb 24, 2025	Long-form	524	1:05:31
Analytical figures of merit and uncertainty propagation	Dec 17, 2024	Long-form	390	34:01
Monday Webinar: A Data-Driven Framework for Metabolomics Quality Control	Oct 29, 2024	Long-form	977	1:06:30
Monday webinar - Pharmaceutical method development	May 1, 2024	Long-form	693	1:02:46
Monday Webinar: Convolutional Neural Networks for visual inspection	Apr 28, 2024	Long-form	340	50:01
Few-shot classification using tensor completion	Feb 27, 2024	Long-form	279	26:51
Monday Webinar: TUSCA – A method for Tucker3 modeling with ASCA+	Feb 20, 2024	Long-form	351	56:15
Chemotools: A Python Package that Integrates Chemometrics and scikit-learn	Feb 1, 2024	Long-form	2,796	53:35
Shift-invariant trilinearity and soft shift-invariant trilinearity	Jan 25, 2024	Long-form	175	45:26
Monday webinar - GIT in one hour	Oct 9, 2023	Long-form	292	43:05
expertPLS: a MATLAB toolbox for spectral preprocessing selection	Sep 26, 2023	Long-form	1,535	53:17
Monday Webinar - Generalized Tensor Decomposition. Utility for Data Analysis	Jul 3, 2023	Long-form	3,938	56:34
Monday webinar - The black hole effect in MCR with Raffaele Vitale	May 16, 2023	Long-form	766	45:49
Monday Webinar. Dual-sPLS: a versatile approach improving PLS with Lasso shrinkage	Apr 25, 2023	Long-form	683	41:36
Monday Webinar: Statistical inference of omics data with variable-selection	Feb 21, 2023	Long-form	565	1:04:45
TenAlign: Joint Tensor Alignment and Coupled Factorization	Jan 30, 2023	Long-form	575	50:20
PARADISe 6.0.1	Jan 10, 2023	Long-form	2,851	15:19
Monday webinar - Chemometrics and molecular fingerprints to enhance LC-MS/MS spectral match	Jan 9, 2023	Long-form	1,575	1:00:11
Introduction to R and Rstudio	Oct 6, 2022	Long-form	483	2:55
Monday Webinar – Anomaly Detection in Hyperspectral Imaging (Neal Gallagher)	Aug 15, 2022	Long-form	1,073	30:51
Monday Webinar - Randomization - speeding up huge problems	Apr 25, 2022	Long-form	423	46:50
Monday Webinar - Interpretable Machine Learning with an Eye for the Physics	Apr 21, 2022	Long-form	574	58:55
Monday Webinar Preprocessing revisited	Mar 29, 2022	Long-form	1,782	55:17
Monday Webinar - Classical and Generalized Least Squares	Feb 18, 2022	Long-form	1,051	51:46
Monday webinar - multiblock data fusion	Jan 24, 2022	Long-form	1,472	40:27
Bruce Kowalski . The father of chemometrics	Nov 14, 2021	Long-form	2,864	1:53:22
Monday Webinar: Partial Least Squares for Nonlinear Regression	Oct 1, 2021	Long-form	1,709	31:30
Monday webinar - the cage of Covariance	Sep 27, 2021	Long-form	491	44:21
Monday webinar - fusing calibration models	Sep 20, 2021	Long-form	470	36:20
Monday webinar - getting machine learning models into use	Sep 14, 2021	Long-form	330	34:56
LASSO in one hour	Mar 23, 2021	Long-form	1,034	55:30
ASCA in one hour	Feb 8, 2021	Long-form	2,855	1:07:20
Fluorescence in one hour	Feb 3, 2021	Long-form	15,172	50:38
22 - Least Squares Estimation of Model Parameters	Oct 26, 2020	Long-form	4,124	15:03
21 - Linear Regression (one X-variable)	Oct 26, 2020	Long-form	596	34:41
PARADISe version 5.7 beta for untargetted GCMS analysis	Sep 30, 2020	Long-form	1,871	24:39

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Data sources and methodology

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vidIQ. As of 2026-11-10, Chemometrics & Machine Learning in Copenhagen has 7,310 subscribers, 1,223,746 total views, and 134 videos. It ranks #4,639,255 by subscribers among channels tracked by vidIQ. Source: public YouTube statistics recorded by vidIQ. https://vidiq.com/youtube-stats/channel/@qualityandtechnology/ Methodology: https://vidiq.com/youtube-stats/top/methodology/

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