algorithmic_thinking
@algorithmthink
#Algorithmic #Thinking : #Algorithmen #verstehen #anwenden #denken = Kernthema von #DigitaleBildung und #DigitaleTransformation ~ #Algorithm.ische #Bildung
Talvez você curta
#Algorithmen als Grundlage für #DigitaleBildung @algorithmthink algorithmic-thinking.de #algorithms #algorithmicThinking #Math #STEM
Algorithmen, Struktogramme, Schleifen in Schleifen – wer erinnert sich?🤓 Damals Pflicht im Informatikunterricht, heute fast ausgestorben. Und genau hier entsteht sie: die Mandelbrot-Menge – Kästchen für Kästchen, Iteration für Iteration.💾🖥️ #Retro #Informatik #C64 #Algorithmus
In der #Arbeitswelt merken wir die Folgen schon. Den #Studenten fehlt es an #fundamentalen #Fähigkeiten, etwa #Wissen #eigenständig auf neue #Probleme zu übertragen. Das sind #Kompetenzen, die ein #Studium eigentlich ausmachen. Gleichzeitig aber überschätzen sich viele…
Zukunftsforscher warnt: „Den Studenten fehlt es an fundamentalen Fähigkeiten“ KI verändert das Studium grundlegend, sagt Zukunftsforscher Hartwin Maas. Im Interview erklärt er, warum akademische Abschlüsse an Wert verlieren – in einigen Fächern ganz besonders.…
Predictive #Statistics — Analysis and #Inference beyond Models: amzn.to/49TYu9v ————— #Probability #DataScience #Mathematics #MachineLearning #StatisticalLearning #ML #PredictiveAnalytics #Forecasting #Mathematics #DataScientist
Python jumped 10%+ on the TIOBE index this month 🤩🐍📈 thanks to the entire #Python community—maintainers, educators, contributors, and users—for helping make Python what it is today! tiobe.com/tiobe-index/
#DeepLearning for #Physics Research: amzn.to/3ubQWQG ———— #DataScientist #AI #MachineLearning #ML #NeuralNetworks #ComputerVision #ObjectDetection #DataScience #ResearchData
"FREE Python Books" for Absolute Beginners 1. Think Python - from O'Reilly → greenteapress.com/thinkpython2/t…
C++ Standard Library Random Distribution
#Maglev #China 🇨🇳 heute… #Transrapid war mal in #Deutschland 🇩🇪 Entwicklungshilfe adé #CRH #TGV #ICE #HighSpeedRail
🇨🇳 China just unveiled its 600km/h (370mph) train. China is WINNING!
🌷 Amsterdam has a vibrant, growing community of Python and data enthusiasts. The PyData Amsterdam conference has been bringing this community together and providing a forum for users and developers of open-source data analysis tools to share ideas and learn from each other for…
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Merve Noyan - Keynote: Open-source Multimodal AI in the Wild | PyData...
Paul Erdös on the infinitude of Mathematics
The hottest new programming language is English
🔥New release, now available!🔥 "Mathematics of Machine Learning" See it here: amzn.to/4eN7i52 by @TivadarDanka via @PacktDataML —————— #DataScientist #DataScience #AI #ML #MachineLearning #Calculus #Probability #LinearAlgebra #Mathematics
The new Qwen3 update takes back the benchmark crown from Kimi 2. Some highlights of how Qwen3 235B-A22B differs from Kimi 2: - 4.25x smaller overall but has more layers (transformer blocks); 235B vs 1 trillion - 1.5x fewer active parameters (22B vs. 32B) - much fewer experts in…
Kimi K2 🆚 Qwen-3-235B-A22B-2507 The new updated Qwen 3 model beats Kimi K2 on most benchmarks. The jump on the ARC-AGI score is especially impressive An updated reasoning model is also on the way according to Qwen researchers
You solidify understanding by teaching it to someone else.
Statistical Learning Theory by Vladimir N. Vapnik
What is Edge computing by @antgrasso #IoT #EdgeComputing #DigitalTransformation #Tech #Technology cc: @sallyeaves @amuellerml @marcusborba
Awesome tool to run PyTorch LLMs natively on devices without requiring Python.
Introducing torchchat 🔥 A lightweight library to run LLMs locally across mobile, desktop and laptops powered by PyTorch. Learn more: hubs.la/Q02JpY6c0 #llms #mobilellms #localai #pytorchllm #edge #ondeviceai
Baidu presents an end-to-end self-reasoning framework to improve the reliability and traceability of RAG systems. The idea is to leverage the reasoning trajectories generated by the LLM itself. In other words, the LLM is used to carry out the following 3 processes: 1)…
In the 90s, they said building software was a fad. In the 2000s, they said indians were going to do my job for $2/hr. In the 2010s, they said no-code solutions would be the end of my career. In the 2020s, they say AI will make it irrelevant. Don't listen. Learn to code.
A beautifully color illustrated book with many figures and codes in R. Highly recommended! @cbouveyron @AdrianRaftery1
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