YouTube channels

Eng tavsiya etiladigan (har kun ko’rish mumkin)

Education / Tutorials

• 3Blue1Brown — matematika visual tushuntirish (MUST SUBSCRIBE)
• StatQuest with Josh Starmer — statistika and ML algoritmlari
• Andrej Karpathy — DL/LLM internals (eng kuchli)
• Sentdex — Python ML tutorials
• Krish Naik — comprehensive ML/DL/MLOps
• Two Minute Papers — research highlights
• Yannic Kilcher — paper reviews (chuqur)
• Lex Fridman — uzun interviewlar (mavzu keng)

Practical / Production

• AssemblyAI — speech AI + ML tutorials
• Weights & Biases — practical MLOps
• Hugging Face — modellar and tutorials
• Patrick Loeber — Python + ML
• Nicholas Renotte — projects (DL, MLOps)
• DeepLearningAI — Andrew Ng channel

LLM era (2024+)

• AI Explained — LLM news and analysis
• Matthew Berman — AI tools and workflows
• Sam Witteveen — LangChain, RAG tutorials
• All About AI — practical AI projects
• David Ondrej — automation and AI agents

MLOps specific

• MLOps Community — meetup recordings
• DataTalksClub — Zoomcamp recordings
• Anyscale Academy — Ray, distributed ML

University courses (free)

Klassik

• Stanford CS229 (ML) — Andrew Ng / Anand Avati
• Stanford CS231n (CV) — Fei-Fei Li
• Stanford CS224n (NLP) — Christopher Manning
• Stanford CS25 (Transformers) — series
• MIT 6.S191 (Deep Learning) — yearly updated
• Caltech ML — Yaser Abu-Mostafa (klassik)

Modern

• DeepMind x UCL Reinforcement Learning — David Silver
• CMU Multimodal ML — Louis-Philippe Morency

Research / Advanced

• Yannic Kilcher — paper reviews
• Aleksa Gordić — The AI Epiphany — papers
• Henry AI Labs — paper summaries
• AI Coffee Break with Letitia — paper reviews (qisqa)
• Steve Brunton — math, dynamical systems

/ (Rus/O’zbek tillarda)

• Selectel — DevOps/MLOps (Russian)
• karpov.courses — DS/ML kurslar (Russian, ko’pchilik bepul)
• ODS (Open Data Science) — meetuplar
• Telegram bot tutorials — Python+ML

By topic

Tabular ML

• Abhishek Thakur — Kaggle Grandmaster, jonli kod
• Konrad Banachewicz(Kaggle channels)

Computer Vision

• PyImageSearch — Adrian Rosebrock
• Murtaza’s Workshop — practical projects
• Roboflow — YOLO and custom training

NLP

• HuggingFace — official
• Jay Alammar(some videos)
• NLP Town

LLM / RAG

• LangChain — official
• LlamaIndex — official
• Pinecone — vector DB + RAG
• Greg Kamradt — LangChain tutorials

MLOps / Production

• MLOps Community
• The MLOps Podcast(some video)
• TestDriven.io — Python production

Software Engineering (parallel skill)

• ArjanCodes — Python design patterns
• mCoding — Python advanced
• Tech with Tim — Python general
• Indently — Python tips

Podcastlar (audio)

• Lex Fridman Podcast — uzun (3+ soat) interviewlar
• The TWIML AI Podcast
• Practical AI Podcast
• MLOps Coffee Sessions
• Latent Space — modern AI/LLM
• Dwarkesh Patel — qiziqarli AI mehmonlar
• Gradient Dissent(W&B podcast)

Konferensiya recordingи

• NeurIPS — top ML conference (YouTube)
• ICML — Conference proceedings
• CVPR / ECCV — Computer Vision
• ACL / EMNLP — NLP
• MLOps World — annual conference
• PyData — Python data conferences

🎯 Qanday samarali use

Tartibli learning

1. Channel to subscribe — har kungi ozgina
2. Playlists — bitta mavzuga focus
3. Notification on — for new materials
4. 1.5x-2x speed — vaqt tejash

Active learning

1. Notes — har 10-15 daqiqada pause and summary
2. Code along — video with birga yozing
3. Replicate — recreate the project you saw yourself
4. Teach — boshqa odamga tushuntiring (Feynman technique)

Discovery

• YouTube Algorithm — ML mavzularidagi qiziq videos
• Subscribed feed — 1-2 new videos every day
• Bookmarks — keyinroq ko’rish for

Daily routine example

Ertalab (15 daqiqa, qahva paytida):

• “Two Minute Papers” or “AI Explained” — yangiliklar

Tushki tanaffus (30 daqiqa):

• Sentdex / Patrick Loeber — qisqa tutorial

Kechqurun (1 soat, focus paytida):

• University lecture (CS231n, CS224n, and h.k.)
• Yoki: Karpathy Zero-to-Hero

Week oxiri (2-3 soat):

• Yannic Kilcher paper review
• Yoki: Lex Fridman podcast (haydash paytida)

Datasets ga o’tish.