Machine Learning with Python

https://t.me/Jobs204 our new start

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Invest and earn upto 3000$ in 24 hrs Secure a spot: Join ELITEPIP EMPIRE #ad 📢 InsideAd

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

11 Plots Data Scientists Use 90% of the Time 📊🚀 Here’s the secret → Data scientists don’t actually use 100+ types of charts. 🤫 When real decisions are on the line, it always comes back to the same 11. https://t.me/DataScienceM

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

Listen - 72% of verified reports we tracked this month changed the battlefield map in under 48 hours. Want that kind of clarity on Sudan, DRC, the Sahel? Forgotten Fronts digs through OSINT, tags confidence, and shows sources so you know what’s real and what’s chatter. Check this out: follow for daily dispatches, rapid alerts, and verified threads. High-signal, no noise. Join us: Forgotten Fronts - or ping @ForgottenFronts_bot for instant alerts. #ad 📢 InsideAd

Most AI channels optimize for attention. We optimize for signal. • real tools • reproducible workflows • technical breakdowns If you care about depth, not hype ✅ this is for you. 🔣 Join the channel

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

A trusted platform for cryptocurrency enthusiasts and reliable trading.

LLM Engineering Roadmap (2026 Practical Guide) 🗺✨ If your goal is to build real LLM apps (not just prompts), follow this order. 🚀 1️⃣ Python + APIs 🐍🔌 You’ll spend most of your time wiring systems. Learn: → functions, classes → working with APIs (requests, JSON) → async basics → environment variables Resources → Python for Everybody https://lnkd.in/gUqkvnGG → Introduction to Python https://lnkd.in/g7xfYJVZ → MLTUT Python Basics Course https://lnkd.in/gCqfyCGZ 2️⃣ Text Basics (NLP) 📝🧠 You don’t need heavy theory, just the essentials. Learn: → tokenization → text cleaning → similarity (cosine) → basic embeddings idea Resources → Natural Language Processing Specialization https://lnkd.in/gz_xmqD9 → NLP in Python https://lnkd.in/gnpcJxhz 3️⃣ Transformers (What’s happening behind the API) 🤖🔍 Enough to not treat it like a black box. Learn: → tokens, context window → attention (high level) → why embeddings work → limits of LLMs Resources → Generative AI with Large Language Models https://lnkd.in/gk3PPtyf → Hugging Face Transformers Course https://lnkd.in/ggSR5JNb 4️⃣ Prompting (Make outputs reliable) 💬🎯 Treat prompts like code. Learn: → few-shot examples → structured outputs (JSON) → system vs user instructions → simple evals (does it break?) Resources → Prompt Engineering for ChatGPT https://lnkd.in/gyg4EiJS → Prompt Engineering with LLMs https://lnkd.in/gn67Mxga 5️⃣ Embeddings + Vector DBs 📊🗄 This is how you add your data. Learn: → embedding generation → similarity search → indexing Tools: → FAISS → Pinecone → Chroma Resources → Working with Embeddings https://lnkd.in/gnngPW4E → Vector Databases & Semantic Search https://lnkd.in/gP2HdMmD 6️⃣ RAG Pipelines 🔗🔄 Most useful apps use this pattern. Learn: → chunking documents → retrieval + ranking → prompt + context design → basic evaluation Resources → Generative AI for Software Development https://lnkd.in/g3uduecv → Build RAG Apps with LangChain https://lnkd.in/ggXJjgDN 7️⃣ Build Real Applications 🛠💻 Keep them small and usable. Build: → document Q&A (PDF → answers) → internal knowledge bot → code assistant (repo Q&A) → support chatbot Tools: → LangChain → LlamaIndex → OpenAI APIs Resources → Build LLM Apps with LangChain & Python https://lnkd.in/g6xXVX_8 → LLM Applications https://lnkd.in/gzs8_SRk 8️⃣ Deployment 🚢☁️ Make it usable by others. Learn: → FastAPI endpoints → streaming responses → caching (reduce cost) → logging + monitoring Tools: → FastAPI → Docker → AWS / GCP Resources →Machine Learning Engineering for Production (MLOps) https://lnkd.in/gCMtYSk5 → MLOps Fundamentals https://lnkd.in/g8TGrUzT https://t.me/DataAnalyticsX ✅

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Here, the NFT is not just an image and not just a collectible. Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API. So you are not just getting an asset in your wallet. You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces. What makes this especially interesting is the timing. In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative: Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent. Public mint: today, 16:00 Price: 50 TON 👉 Mint your Lobster on Getgems 🦞🦞🦞

This FREE AI engineering roadmap Will teach you more in 2026 than a 4-year college degree... Here's the exact 6-step blueprint 👇 1️⃣STEP 1: Python Programming Foundations Harvard CS50's Python Programming Course : https://lnkd.in/ePCvXwXP → Build unshakeable coding fundamentals → 6-8 weeks to Python mastery 2️⃣ STEP 2: Machine Learning Foundations Stanford CS229: Machine Learning : https://lnkd.in/eEsdZbVc → Learn from the legends at Stanford → Master ML algorithms and math foundations → 10-12 weeks of pure gold 3️⃣ STEP 3: Deep Learning Mastery Fast.ai Practical Deep Learning : https://course.fast.ai/ → Jeremy Howard's legendary course → Build real AI applications from day 1 → 8-10 weeks of hands-on projects 4️⃣ STEP 4: Natural Language Processing Stanford CS224N/Ling284 : https://lnkd.in/ebQZ5_T3 → Master transformers and language models → The foundation of ChatGPT and GPT-4 → 10-12 weeks of cutting-edge NLP 5️⃣ STEP 5: Generative AI Introduction Microsoft Generative AI for Beginners : https://lnkd.in/ewsH8gMT → 21 Lessons teaching everything you need to know to start building Generative AI applications → 6-8 weeks of creative AI 6️⃣ STEP 6: Large Language Models LLM University by Cohere : https://cohere.com/llmu → Fine-tune and deploy production LLMs → Build and deploy LLM models → 6-8 weeks of enterprise-level skills https://t.me/CodeProgrammer ✅

Tired of losing nights? With $100 start, Mr Pastore EA can target $500/day automatically - try the 7-day demo and breathe easy. Join now: Start #ad 📢 InsideAd

I watched a новичок turn $10 into $27 in 48 hours on M1… and it wasn’t luck-it was one risk setting most bots ignore. I’ll show the exact switch (and the safe way to test) here: Open DM #ad 📢 InsideAd

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

⚡️ “New drop just helped me make my first $10k.” Tap in before the next one. #ad 📢 InsideAd