Machine learning books and papers

Kanalga Telegram’da o‘tish

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

Ko'proq ko'rsatish

📈 Telegram kanali Machine learning books and papers analitikasi

Machine learning books and papers (@machine_learn) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 24 509 obunachidan iborat bo'lib, Taʼlim toifasida 8 029-o'rinni va Eron mintaqasida 13 742-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 24 509 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -144 ga, so‘nggi 24 soatda esa -9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 6.62% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.91% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 623 marta ko‘riladi; birinchi sutkada odatda 468 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent disorder, psy, مقاله, framework, graph kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

24 509

Obunachilar

-924 soatlar

-317 kunlar

-14430 kunlar

1 623

Post ko'rishlar

~ 46824 soatlar

~ 57648 soatlar

6.62%

Muloqot nisbati

Ma'lumot yo'q

Kuniga postlar

Ads index

beta

Postlar arxiv

24 509

Final Edit-Sha.pdf1.28 MB

24 509

جایگاه ۲ و ۳ این مقاله باقی مونده. از دوستان کسی خواست در خدمتم @Raminmousa

24 509

با عرض سلام در مقاله ی دوممون ۲ جایگاه برای دوستانی که نیاز دارند در نظر گرفتیم. Title: Beampattern Design in Non-Uniform MIMO Communication ABSTRACT: In recent years and with introduction of 5G cellular network and communication, researchers have shown great interest in Multiple Input Multiple Output (MIMO) communication, an advanced technology. Many studies have examined the problem of designing the beampattern for MIMO communication using uniform arrays and the covariance-based method to concentrate the transmitted power to the users. However, this paper aims to tackle this issue in the context of non-uniform arrays. Previous authors have primarily focused on designing the transmitted beampattern based on the cross-correlation matrix of transmitted signal elements. In contrast, this paper suggests optimizing the positions of transmitted antennas along with the cross-correlation matrix. This approach is expected to produce better results. KEYWORDS: MIMO Communication; Beampattern matching design; Non-uniform arrays Covariance based method. همچنین ژورنال که قرار بفرستیم IEEE Transactions on Aerospace and Electronic Systems: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7 می باشد. جهت هماهنگی می تونین با ایدی بنده در ارتباط باشین. @Raminmousa

24 509

Python.for.Scientists.pdf7.08 MB

24 509

با عرض سلام فقط جایگاه ۳ از این مقاله باقی مونده ....

24 509

با عرض سلام فقط جایگاه ۲ و ۳ از این مقاله باقی مونده ....

24 509

با عرض سلام مقاله Title: Improved Interpretability-Based Training for deep Learning Models in Classification جهت ارسال به https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5962385 با If=10.4 اماده کردیم جایگاه ۲ تا ۵ مقاله خالیه. دوستانی که نیاز دارن میتونن با بنده در ارتباط باشند. @Raminmousa

24 509