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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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ИХР РАН / ISC RAS

@isc_ras · Post #879 · 03/17/2023, 05:40 AM

На YouTube-канале Американского физического общества доступна запись замечательного вебинара Physical Review tutorial for authors: How to write a great scientific paper: https://www.youtube.com/watch?v=kUsSnsfDgfI Цитаты: "...the curse of knowledge..." "...There is no correlation between speaking English well and writing well..." "...Writing is storytelling..." "...Every paper tells (not more than) one story..." "...Find your own voice..." #webinar#APS

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