#supervisedlearning

Amit Kamalbhai Dhananiamitdhanani2019
2025-02-15

How to Train Machine Learning model withou ML Library with simple Python code a internal work ? then follow below link - it has video also

amitdhanani.in/2025/02/15/how-

2024-07-23

Someone just shared this awesome comic with me. Does anyone know the original source? (I can't read the small signature.) 3 Complaining #machinelearning robots 🤖 : #SupervisedLearning - they gave me so much to read, and test! #unsupervised - Me too. But at least they told you the answers. #reinforcementlearning - At least you don't get punished for every wrong action. 😆

Christoph Scheuchchristophscheuch
2024-02-22

In this blog post, I showcase the power of {tidymodels} and tidy coding principles for efficiently prototyping and fine-tuning different models at the same time 💪

blog.tidy-intelligence.com/pos

Joxean Koret (@matalaz)joxean
2024-02-19

Dear Machine Learning + REversing people, one question: I'm working on a model to find better matches in . It's implemented in this way:

- 1st, I find good matches in the 2 binaries being compared with heuristics proven to be working.
- Using these good (and also bad) matches, I build a dataset for the current 2 binaries, and I train a classifier.

The model is later on used to predict if future matches are good or bad.

Digital History BerlinDigitalHistory@fedihum.org
2023-10-30

📢 Vortragshinweis:

Im Rahmen des #DigitalClassicist seminar halten Torsten Hiltmann & Martin Dröge morgen einen Vortrag zum Thema: Geschichte aus der Maschine - Funktionsweise, Möglichkeiten und Grenzen von #MachineLearning für die geschichtswissenschaftliche Forschung und Lehre

Dabei wird es u.a. um #SupervisedLearning, #LLM & die Relevanz von Methodenkritik gehen.

🗓️ 31. Oktober, 16 Uhr c.t.
🌐 Teilnahme möglich online via Zoom: digiclass.bbaw.de/seminar.html

_____
#DigitalHistory @histodons

2023-10-19

Random forest and tree methods are OP.

Less sensitive to class imbalance and unnormalised features

Can get feature importances.

Easy to use.

My go-to.

#datascience #programming #supervisedlearning

Rob Whiting 📓whitingx@mastodon.cloud
2023-03-14

@joelanman … so, checking my 🔖 bookmarks - I might have been confused between this resource on #SupervisedLearning > ibm.com/topics/supervised-lear - and this document on everyday #Ethics for 🤖 #AI > ibm.com/watson/assets/duo/pdf/.

Hopefully some more useful responses incoming. 😆

Rob Whiting 📓whitingx@mastodon.cloud
2023-03-14

@joelanman - I remember reading some work done by #IBM on #SupervisedLearning for #AI/#ML and ethical implications - will see if I can find the links. 👀

Interested to see other's responses to this question. 🙂

2023-02-06

4/10: Machine learning is a subset of AI that focuses on building models to make predictions or decisions based on data. Understanding the different types of algorithms, such as supervised and unsupervised learning, is key. #SupervisedLearning #UnsupervisedLearning

2023-01-23

Two PhD thesis projects available at University of Paris Cité:

"Neutrinos and Gamma-rays from Extragalactic Sources" and

"Machine/Deep Learning for Neutrino Astronomy".

More info here:

apc.u-paris.fr/APC_CS/fr/neutr

apc.u-paris.fr/APC_CS/fr/machi

#Neutrinos #GammaRays #MachineLearning #DeepLearning #SupervisedLearning #UnsupervisedLearning #AstroparticlePhysics

2022-12-22

Kmeans saved the day this week. Dealing with uncertainty, measurement errors and other factors: Very often, it's the basic #datascience tools that provide the best solution in the least amount of time...

#data #informationvisualization #datavisualisation #clustering #classifier #supervisedlearning tag team with #unsupervisedlearning #semiconductor #physics #labeling #uncertainty

How has your week been so far?

heise online (inoffiziell)heiseonline@squeet.me
2022-10-17
heise+ | Big Data: Predictive-Analytics-Tools im Überblick

Viele Firmen haben Geschäftsmodelle um ihre Daten herum aufgebaut, andere machen ihre Daten noch verwertbar. Predictive-Analytics-Tools helfen.
Big Data: Predictive-Analytics-Tools im Überblick
heise online (inoffiziell)heiseonline@squeet.me
2022-08-05
heise+ | KI in Unternehmen: Wie künstliche Intelligenz Firmen produktiv macht

Was Algorithmen leisten, reicht für unzählige Einsätze in der Produktion locker aus. Wir haben in diversen Branchen KIs gefunden, die viel Arbeit wegschaffen.
KI in Unternehmen: Wie künstliche Intelligenz Firmen produktiv macht

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