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Source channel @githubtrending · Post #14869 · Jun 26

#html#data_science#education#machine_learning#machine_learning_algorithms#machinelearning#machinelearning_python#microsoft_for_beginners#ml#python#r#scikit_learn#scikit_learn_python Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5]. https://github.com/microsoft/ML-For-Beginners

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ФГБУН Институт высокотемпературной электрохимии УрО РАН

@ihteubras · Post #691 · 11/06/2024, 04:46 PM

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🟣 2024 🟣 V. 11 🟣 Issue 4 🟣 Art. 202411411 🟣 Article 🟣 Опубликована новая статья 📜 Impact of calcium and copper co-doping on the oxygen transport of layered nickelates: a case study of Pr1.6Ca0.4Ni1–yCuyO4+δ and a comparative analysis 👩‍🎓👨‍🎓 V. Sadykov (https://orcid.org/0000-0003-2404-0325), N. Eremeev (https://orcid.org/0000-0002-3494-2771), E. Sadovskaya, T. Zhulanova (https://orcid.org/0000-0002-8009-4398), S. Pikalov (https://orcid.org/0000-0001-6292-0468), Y. Fedorova, E. Pikalova (https://orcid.org/0000-0001-8176-9417) 🏛 Federal Research Center Boreskov Institute of Catalysis SB RAS https://en.catalysis.ru 🏛 Institute of High-Temperature Electrochemistry UB RAS, https://ihte.ru 🏛 Ural Federal University, https://urfu.ru/en Institute of Metallurgy UB RAS, http://www.imeturan.ru 📚#SOFCs#SOECs#layered#nickelates#oxygen#transport#isotope#exchange 🔗https://doi.org/10.15826/chimtech.2024.11.4.11 https://journals.urfu.ru/index.php/chimtech/article/view/8073

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