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AI and Machine Learning

AI and Machine Learning

رفتن به کانال در Telegram

Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

نمایش بیشتر

📈 تحلیل کانال تلگرام AI and Machine Learning

کانال AI and Machine Learning (@machine_learning_courses) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 94 144 مشترک است و جایگاه 1 548 را در دسته آموزش و رتبه 2 998 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 94 144 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 28 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 939 و در ۲۴ ساعت گذشته برابر 37 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 7.03% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.49% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 6 622 بازدید دریافت می‌کند. در اولین روز معمولاً 2 343 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 9 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, llm, linkedin, linux, udemy تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 29 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

94 144
مشترکین
+3724 ساعت
+2867 روز
+93930 روز
آرشیو پست ها
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📦 Exercice Files

Machine Learning and AI Foundations: Advanced Decision Trees with KNIME @Linkedin_Learning

🔸 Full description 🔸 Every year, it seems, there is a new hot trend in data science. One of the hottest predictive analytics algorithms this year is gradient-boosted trees. One cannot hope to understand why it is popular and successful if one doesnt understand the basics of decision trees. Specific tree algorithms have risen and fallen in popularity, but the core concepts have been fundamental to the discipline for at least 30 years. In this course, instructor Keith McCormick demonstrates and discusses a half-dozen popular decision tree algorithms. Keith shows how to access them using other open-source options from within the KNIME platform. He explains them and reverse engineers them to create a solid foundation on which to build more advanced data science skills.

🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🔊 Author: Keith McCormick 🔸 Date: 2022-11-14 ⏰ D
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19 Appendix - NumPy - Part 02.zip239.76 MB

AI and Machine Learning - آمار و تحلیل کانال تلگرام @machine_learning_courses