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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Ko'proq ko'rsatish📈 Telegram kanali Linkedin Learning analitikasi
Linkedin Learning (@linkedin_learning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 216 935 obunachidan iborat bo'lib, Taʼlim toifasida 386-o'rinni va Hindiston mintaqasida 717-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 216 935 obunachiga ega bo‘ldi.
27 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -98 ga, so‘nggi 24 soatda esa -98 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.83% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.82% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 14 825 marta ko‘riladi; birinchi sutkada odatda 3 944 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 15 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent author, linkedin, linux, javascript, 040k| kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 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.
216 935
Obunachilar
-9824 soatlar
-1557 kunlar
-9830 kunlar
Postlar arxiv
216 916
Open Doors is an Olympiad that will change your future!
Study at one of the best universities in Russia for free on Master's and Doctoral program (similar to PhD) in English. You will become a specialist with useful hard and soft skills, strong theoretical knowledge, and special skills according to your specialization. This is your chance for success!
Choose your new future and participate in the Open Doors Olympiad online!
You can find more information about the subjects, rounds of the Olympiad, and participating universities on the website.
216 916
🔸 Full description 🔸
Although it was developed in the 1970s, Unix remains an essential skill for anyone working in technology today, and serves as the backbone of many modern technologies like smartphones, streaming services, and supercomputers. In Unix Essential Training, Kevin Skoglund teaches Unix from the ground up, starting with the basics of the command line and the most important Unix commands. Regardless of whether youre using Mac OS, Windows, or Linux, Kevin helps you unlock the powerful capabilities of Unix by walking you through how to use command-line syntax to perform common tasks such as file management, data entry, and text manipulation. By the end of the course, youll have tools that you can immediately apply to your own work.
216 916
🔅 Unix Essential Training
🌐 Author: Kevin Skoglund
🔰 Level: Intermediate
⏰ Duration: 2h 38m
🌀
This course teaches Unix from the ground up, starting with the basics of the command line and the most important Unix commands.
📗 Topics: Unix
📤 Join @linkedin_learning for more courses216 916
🔅 JavaScript: Functions
🌐 Author: Ray Villalobos
🔰 Level: Intermediate
⏰ Duration: 1h 27m
🌀
Explore the different ways of declaring and invoking JavaScript functions, the hidden but powerful "subprograms" that power the backbone of your code.
📗 Topics: JavaScript
📤 Join @JavaScript_Trainings for more courses216 916
🔸 Full description 🔸
Using pretrained transformers for natural language processing (NLP) has become extremely popular among ML engineers and data scientists. If you work in the field, or even have a role adjacent to it, you need to stay apace with the latest innovative tools. In this course, instructor Kumaran Ponnambalam shows you how to take your AI skills to the next level using the repository of pretrained transformers available on the Hugging Face platform.Explore strategies to leverage transformers for various use cases to solve complex problems and deliver consistent, timely results. Kumaran shows you how to implement two simple NLP use cases—sentiment analysis and named entity recognition—utilizing pretrained transformers from Hugging Face and customizing them as you go. Upon completing this course, youll be prepared to apply your new AI skills to projects in your current or future role.
216 916
🔅 Applied AI: Getting Started with Hugging Face Transformers
🌐 Author: Kumaran Ponnambalam
🔰 Level: Intermediate
⏰ Duration: 1h 16m
🌀
Get up and running with pretrained transformers in Hugging Face, the popular platform for natural language processing (NLP) applications.
📗 Topics: Applied Machine Learning
📤 Join @linkedin_learning for more courses216 916
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216 916
🔅 JavaScript: Best Practices for Functions and Classes
🌐 Author: Sasha Vodnik
🔰 Level: Intermediate
⏰ Duration: 1h 45m
🌀
Learn how to generate more consistent and easier-to-maintain JavaScript. Discover keys and tools to build better programs and to help improve code organization and quality.
📗 Topics: JavaScript
📤 Join @JavaScript_Trainings for more courses