Here is the blog post by me, @montymahan and @paolotamag on how to simplify parameter tuning using a #nocode approach with the #KNIME Verified component on any kind of machine learning model.
Link to the blogpost : https://t.co/AmnoSKJMWl
🚚 In our latest blog, we show how to solve a truck-loading optimization problem using KNIME’s Optimization component, which brings linear programming into your workflow — without requiring advanced mathematical expertise.
Learn more: https://t.co/VHpyq8Cd0L
A new #JustKNIMEIt challenge is available!✨
This week, we're all becoming freelancing Data Scientists & will help an actuarial agency to determine probabilities and life expectancy of their clients
Ready for another week full of creative dashboards?📉
#KNIME#JKI#challenge
How to understand a model's decision-making process? With #XAI techniques! Learn how @keerthankaka and @paolotamag use #KNIME to compute and visualize #ICE and #PDP in order to explain a black box model in a local and global manner, respectively.
https://t.co/2HhETO53zZ
😀Como he disfrutado esta semana el reto 6 de #JustKnimeIt de #KNIME !!
En este reto he querido centrarme usar múltiples #nodos que nos permiten realizar la tarea fácilmente..
Una gozada trabajar con esta herramienta 📈
🔜Go to the next one @aline_knime ! 💪
#DataScience#ML
When we create #ML solutions, how do we know if we can trust the model's decisions? Read how #KNIME can provide you with no-code #XAI techniques to explain your #ML model. Visit the dedicated space with examples for both regression and classification.
https://t.co/fXkajmja1W
Join Kevin and me for this session at the #KNIME spring #summit in April! In this course you'll learn about flow variables, workflow control, error handling, and even some machine learning 💡
I'm looking forward seeing you there!
#ChatGPT is proly the 🔥topic in the tech industry atm. Behind it is a #machinelearning model, so it's needless to say that ML is a great way to deal with many problems. For a jumpstart on ML with #KNIME we provide a #cheatsheet that highlights the most common ML functionalities
I find personally exciting this upcoming month! So many events for the #KNIME italian community 🍝 with different universities 🎓 involved!
Read below in the thread🧵if you are in Italy!
#DataScience#opensource#lowcode#lowcodenocode#nocode
✨🎄 On the last day of 2022, we would like to share a personal list of this year’s must-read data stories written by the #KNIME community for the #KNIME community and beyond.
https://t.co/3KABBjFOw8
Happy low code 2023! 🌟🥂
#datascience#KNIME#lowcode#nocode#opensource
The blog post that @paolotamag and I wrote about using partial dependence plots (#PDP) and individual conditional expectations (#ICE) plots in #KNIME, is now available.
Blogpost : https://t.co/XsWammCERU
Example workflows : https://t.co/l5tBRs6Ui2
#datascience#nocode#lowcode
Wow, no latency when KNIME transfers tables to Python nodes. We're seeing a 50x performance improvement on a 2-million-row data operation! #KNIME loves #Python https://t.co/Dq6k80VDLd
We had a great start to the first day of #KNIMESummit2022 in #Austin. We had the KNIME training sessions, the COTM ceremony, @DMR_Rosaria's My Data Guest interviews, and more! Stay tuned for more updates.😊