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Artificial Intelligence

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🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM

Ko'proq ko'rsatish

Tarmoq:Zero To Mastery Hindiston4 401 Texnologiyalar & Aralashmalar1 803...

📈 Telegram kanali Artificial Intelligence analitikasi

Artificial Intelligence (@artificial_intelligence_com) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 71 574 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 803-o'rinni va Hindiston mintaqasida 4 401-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 71 574 obunachiga ega bo‘ldi.

28 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -399 ga, so‘nggi 24 soatda esa -39 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 6.14% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.59% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 4 397 marta ko‘riladi; birinchi sutkada odatda 1 141 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent learning, linkedin, linux, udemy, 040k| kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM”

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

71 574

Obunachilar

-3924 soatlar

-2227 kun

-39930 kun

4 397

Post ko'rishlar

~ 1 14124 soatlar

~ 1 52048 soatlar

6.14%

Muloqot nisbati

~ 1

Kuniga postlar

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Postlar arxiv

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🔗 Overview of Machine Learning

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📱Artificial Intelligence and Machine Learning 📱High-Performance PySpark: Advanced Strategies for Optimal Data Processing

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📂 Full description Master the art of efficient data processing with this advanced PySpark course designed for data engineers. Instructor Ameena Ansari shows you the essentials of optimizing the data cleaning process and defining schemas to streamline ingestion at scale. Explore various data formats and compression techniques to ensure seamless performance, even with massive datasets. By the end of this course, you'll have the tools and skills you need to transform and ingest high-quality data using PySpark pipelines that are both scalable and efficient.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.

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🔅 High-Performance PySpark: Advanced Strategies for Optimal Data Processing 🌐 Author: Ameena Ansari 🔰 Level: Advanced ⏰ Duration: 1h 22m

🌀 Discover techniques for optimizing data cleaning, selecting efficient data formats, minimizing shuffling and skew, and performing high-performance data processing at scale.

📗 Topics: Data Pipelines, PySpark, Data Processing 📤 Join Artificial Intelligence and Machine Learning for more courses

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🔗 30 Useful AI Apps That Can Help You in 2025

AI apps are taking over the world. There’s an AI app for every conceivable use case. Here are some AI apps for different categories:

1 - General Purpose: Perplexity, Anthropic Claude, Grok, ChatGPT, and Gemini 2 - Writing Code: Cursor, Replit, Windsurf AI, Github Copilot, and Tabnine 3 - Productivity: Adobe (PDF Chat), Gemini for Gmail, Gamma (AI slide deck), WisprFlow (AI voice dictation), and Granola (AI notetaker) 4 - Audience Building: Delphi (AI text, voice), HeyGen (video translation), Persona (AI agent builder), Captions (AI video editing), and OpusClips (Video repurposing) 5 - Creativity: ElevenLabs (realistic AI voices), Midjourney, Suno AI (music generation), Krea (enhance images), and Photoroom (AI image editing) 6 - Learning and Growth: Particle News App, Rosebud (AI journal app), NotebookLM, GoodInside (parenting co-pilot), and Ash (AI counselor).

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🔗 Machine learning project ideas

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📱Artificial Intelligence and Machine Learning 📱Artificial Intelligence Foundations: Machine Learning

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📂 Full description Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you'll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor Kesha Williams as she explores widely adopted machine learning methods: supervised, unsupervised, and reinforcement. There's a focus on sourcing and preparing data and selecting the best learning algorithm for your project. After training a model, learn to evaluate model performance using standard metrics. Finally, Kesha shows you how to streamline the process by building a machine learning pipeline. If youre looking to understand the machine learning lifecycle and the steps required to build systems, check out this course.

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🔅 Artificial Intelligence Foundations: Machine Learning 🌐 Author: Kesha Williams 🔰 Level: Beginner ⏰ Duration: 1h 50m

🌀 Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.

📗 Topics: Machine Learning, Artificial Intelligence 📤 Join Artificial Intelligence and Machine Learning for more courses

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💡 Different between Data science vs AI vs ML

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AI tools for online business

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