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Machine learning books and papers

Machine learning books and papers

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Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn

نمایش بیشتر
إيران13 749آموزش8 033

📈 تحلیل کانال تلگرام Machine learning books and papers

کانال Machine learning books and papers (@machine_learn) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 24 505 مشترک است و جایگاه 8 033 را در دسته آموزش و رتبه 13 749 را در منطقه إيران دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 24 505 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 03 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -99 و در ۲۴ ساعت گذشته برابر 2 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 6.54% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.24% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 603 بازدید دریافت می‌کند. در اولین روز معمولاً 549 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند disorder, psy, مقاله, framework, graph تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 04 ژوئیه, 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.

24 505
مشترکین
+224 ساعت
-107 روز
-9930 روز
آرشیو پست ها
Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using #OpenCV and #Python #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using #OpenCV and
Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using #OpenCV and #Python #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning Refined Foundations, Algorithms, and Applications JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machine Learning Refined Foundations, Algorithms, and Applications JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS #boo
Machine Learning Refined Foundations, Algorithms, and Applications JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS #book #ML @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn ​​New paper on training with pseudo-labels for semantic segmentation Semi-Supervised Segmentation of Salt Bodi
@Machine_learn ​​New paper on training with pseudo-labels for semantic segmentation Semi-Supervised Segmentation of Salt Bodies in Seismic Images: SOTA (1st place) at TGS Salt Identification Challenge. Github: https://github.com/ybabakhin/kaggle_salt_bes_phalanx ArXiV: https://arxiv.org/abs/1904.04445 #GCPR2019 #Segmentation #CV

Machine learning books and papers
Machine learning books and papers
24 505
Learning Scrapy Learn the art of efficient web scraping and crawling with Python #book #python #Scrapy @Machine_leaen

Machine learning books and papers
Machine learning books and papers
24 505
Learning Scrapy Learn the art of efficient web scraping and crawling with Python #book #python #Scrapy @Machine_leaen
Learning Scrapy Learn the art of efficient web scraping and crawling with Python #book #python #Scrapy @Machine_leaen

Machine learning books and papers
Machine learning books and papers
24 505
ensemble-machine-learning@netWorkArtificial #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505

Machine learning books and papers
Machine learning books and papers
24 505
hands-unsupervised-learning #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Machinelearning for text #book @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn #code #paper Y-Autoencoders: disentangling latent representations via sequential-encoding Article: https://arxiv.org/abs/1907.10949 GitHub: https://github.com/mpatacchiola/Y-AE

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn #code #paper FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture. Github: https://github.com/facebookresearch/FixRes Article:https://arxiv.org/abs/1906.06423

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn #code #paper FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the pe
@Machine_learn #code #paper FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture. Github: https://github.com/facebookresearch/FixRes Article:https://arxiv.org/abs/1906.06423

Machine learning books and papers
Machine learning books and papers
24 505
Simple Deep Learning for Programmers Write your own modern neural networks in Keras and Python for images and sequence data #By: The Lazy Programmer #book #DL @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Simple Deep Learning for Programmers Write your own modern neural networks in Keras and Python for images and sequence data #
Simple Deep Learning for Programmers Write your own modern neural networks in Keras and Python for images and sequence data #By: The Lazy Programmer #book #DL @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
@Machine_learn __________________________ How to Develop an Information Maximizing GAN (InfoGAN) in Keras https://machinelearningmastery.com/how-to-develop-an-information-maximizing-generative-adversarial-network-infogan-in-keras/

Machine learning books and papers
Machine learning books and papers
24 505
Sentiment Analysis by Capsules∗ #paper #DL #SA @Machine_learn

Machine learning books and papers
Machine learning books and papers
24 505
Sentiment Analysis by Capsules∗ #paper #DL #SA @Machine_learn
Sentiment Analysis by Capsules∗ #paper #DL #SA @Machine_learn