Resources

Bu butun ML/MLOps yo’lingizda foydali resurslar to’planganan.

Sections

• Kitoblar — must-read and reference kitoblar
• Onlayn kurslar — bepul and pullik kurslar
• YouTube channels — for daily learning
• Datasets — practice for dataset manbalari
• Cheatsheets — for quick reference

🎯 Qaysi resurs when?

When learning a new topic

1. Mavjud — YouTube(5-10 daqiqalik intro video)
2. For understanding — Andrew Ngor fast.aicourse
3. Chuqurlashish — kitob(Géron, Burkov, Chip Huyen)
4. Amaliyot — Kaggleor HuggingFace
5. Reference — official docs

Vakansiyaga tayyorgarlikda

1. System design — Chip Huyen’s book + Designing ML Systems
2. Coding interviews — LeetCode + Python ML problems
3. Behavioral — STAR format, project storytelling
4. Take-home assignments — Kaggle competitions from inspire

When learning a new tool/framework

1. Official quickstart(30 daqiqa)
2. YouTube tutorial(1-2 soat hands-on)
3. Build something small(1-2 kun)
4. Documentation diving(when needed)

Job hunting resurslar

Job boards

• LinkedIn Jobs — the largest
• Indeed, Glassdoor
• HN Who is hiring — startups
• AI-jobs.net — ML specific
• Wellfound(sobiq AngelList) — startups
• Remote OK, We Work Remotely — remote
• **Mahalliy:**olx.uz, hh.uz, hire.uz

Interview prep

• Educative.io — Grokking the ML Interview
• Pramp, Interviewing.io — mock interviews (bepul)
• leetcode.com — coding (Python, SQL)
• “Machine Learning Interviews” — Susan Shu Chang
• “Cracking the ML Interview” — Nick Singh

CV / LinkedIn

• resumeworded.com — auto-feedback
• enhancv.com — templates
• Follow LinkedIn ML influencers

Communities (qatnashing!)

Slack/Discord

• MLOps Community Slack — the largest MLOps community
• DataTalks.Club Slack — kurslar and meetups
• Hugging Face Discord — LLM and NLP
• r/MachineLearning Discord

Telegram (O’zbek/Russian)

• @uzbekdevs
• https://taplink.cc/mlc_uz
• @datatalks_ru

LinkedIn

• Andrew Ng
• Chip Huyen
• Yann LeCun
• Andrej Karpathy
• Eugene Yan
• Ravi Theja (LlamaIndex)

Twitter/X

• @karpathy
• @chipro
• @huggingface
• @LangChainAI
• @MLOpsCommunity

Bloglar

• Towards Data Science — Medium ML publication
• Chip Huyen’s blog — huyenchip.com
• Eugene Yan — eugeneyan.com
• Sebastian Raschka — magazine.sebastianraschka.com
• Jay Alammar — jalammar.github.io
• distill.pub — visual ML explanations
• Andrej Karpathy’s blog — karpathy.github.io

Podcastlar (haydash/sport paytida)

• Latent Space — modern AI
• Practical AI — applied ML
• MLOps Coffee Sessions
• The TWIML AI Podcast
• Lex Fridman — uzun interviewlar
• Dwarkesh Patel — AI/ML thinkers

Research / Papers

• Papers With Code — papers + implementations
• arXiv.org — preprints
• AlphaSignal — weekly digest (bepul email)
• The Batch(Andrew Ng) — weekly newsletter
• Import AI(Jack Clark) — weekly newsletter

Tools and services

Free GPUs

• Google Colab — T4 GPU, bepul
• Kaggle Notebooks — P100, 30 soat/hafta
• Lightning AI — free tier
• Paperspace Gradient — free tier
• Modal.com — free credits

Free Hosting

• HuggingFace Spaces — model demos for
• Streamlit Cloud — Streamlit apps
• Render, Railway — backend
• Vercel, Netlify — frontend
• Cloudflare Workers — edge compute

Useful tools

• VS Code + Jupyter extension — best Python IDE
• Cursor.ai — AI-powered code editor
• GitHub Copilot — AI completion
• PyCharm Professional — kuchli IDE (bepul student)
• DBeaver — universal DB client
• Postman / Insomnia — API testing
• TablePlus — DB GUI

Kitoblar ro’yxati with boshlang.