George Kachanouski’s Post

If you want to build a serious foundation in 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 - start here. Stanford’s CS229 Notes by Andrew Ng are not just lecture material. They’re one of the clearest, most structured explanations of ML concepts you’ll find anywhere - and they’re free. This isn’t just theory. These notes help you understand the ideas that power modern ML systems - the kind that show up in top tech interviews and real-world applications. 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: 1. Supervised Learning - Linear regression, logistic regression, SVMs 2. Deep Learning - What really happens inside neural networks 3. Generalization & Regularization - Building models that don’t just memorize 4. Unsupervised Learning - Clustering, PCA, and more 5. Reinforcement Learning - Teaching machines to make decisions over time Andrew Ng has taught millions - through Stanford, Google Brain, and Coursera. This set of notes is where many ML journeys begin - including mine. 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: 1. It connects math with real ML intuition 2. It gives you the "why" behind algorithms, not just the "how" 3. It helps you answer questions with depth in interviews, not just keywords Most people jump straight to libraries. Few take the time to understand what those libraries are doing. This is your chance to do both.

Stanford just made their entire AI curriculum free... 👇 No catch. No waitlist. Just world-class AI education from the professors who built this field. 7 courses to go from AI user to AI builder: 1. Artificial Intelligence – CS221 Core AI foundations: search, logic, planning, decision-making → https://lnkd.in/gM892TxC 2. Machine Learning – CS229 Supervised, unsupervised learning + algorithm design → https://lnkd.in/gWgtbwZc 3. Deep Learning – CS230 Neural networks, CNNs, RNNs, and implementation → https://lnkd.in/gYyD2Fwa 4. Machine Learning Theory – CS229M The mathematics behind learning systems → https://lnkd.in/gN4v2u9w 5. Reinforcement Learning – CS234 Q-learning, MDPs, and decision-making models → https://lnkd.in/gKhtZYsV 6. Natural Language Understanding – CS224U How AI processes meaning and intent → https://lnkd.in/gg2BAW9k 7. NLP with Deep Learning – CS224N Neural approaches to translation, Q&A, and text analysis → https://lnkd.in/gWvnNXB2 Complete even one of these courses? You'll understand AI better than 90% of people throwing around buzzwords. Pick one. Start this week. The difference between using AI and understanding AI is about to matter more than you think. Which course are you starting with? ♻️ Share this with someone who needs to level up their AI game Follow (Yogi Gnanavel) for more career acceleration strategies #careerGTM

Stanford just dropped their entire AI curriculum for free. This is the kind of resource that can change how you work and think. One solid course can give you more clarity than endless buzzwords ever will. The gap between using AI and understanding it is only getting bigger. #AI #MachineLearning #DeepLearning #ArtificialIntelligence #CareerDevelopment #Upskilling #NLP #ReinforcementLearning #Stanford #FreeCourses #AITraining #LifelongLearning 🚀

𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗮 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝘁𝗮𝗿𝘁 𝗵𝗲𝗿𝗲. Stanford's CS229 Notes by Andrew Ng are not just lecture material. They're one of the clearest, most structured explanations of ML concepts you'll find anywhere - and they're free. This isn't just theory. These notes help you understand the ideas that power modern ML systems - the kind that show up in top tech interviews and real-world applications. 𝗪𝗵𝗮𝘁'𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: 1. Supervised Learning - Linear regression, logistic regression, SVMs 2. Deep Learning - What really happens inside neural networks 3. Generalization & Regularization - Building models that don't just memorize 4. Unsupervised Learning - Clustering, PCA, and more 5. Reinforcement Learning - Teaching machines to make decisions over time Andrew Ng has taught millions - through Stanford, Google Brain, and Coursera. This set of notes is where many ML journeys begin including mine. 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: 1. It connects math with real ML intuition 2. It gives you the "why" behind algorithms, not just the "how" 3. It helps you answer questions with depth in interviews, not just keywords Most people jump straight to libraries. Few take the time to understand what those libraries are doing. This is your chance to do both.

Stanford's world-class AI curriculum is now free online. Learn core AI concepts from Stanford professors. Here are the top 7 essential courses: [ 🔖 save this post for later ] 1. Artificial Intelligence – CS221 • Learn core AI concepts: search, logic, planning, decision-making → Course: https://lnkd.in/gM892TxC 2. Machine Learning – CS229 • Learn supervised, unsupervised learning + algorithm design → Course: https://lnkd.in/gWgtbwZc 3. Deep Learning – CS230 • Master neural nets, CNNs, RNNs, and best practices → Course: https://lnkd.in/gYyD2Fwa 4. Machine Learning Theory – CS229M • Explore the math behind learning systems and models → Course: https://lnkd.in/gN4v2u9w 5. Reinforcement Learning – CS234 • Explore Q-learning, MDPs, and training models to take actions → Course: https://lnkd.in/gKhtZYsV 6. Natural Language Understanding – CS224U • Understand meaning, intent, and dialogue systems → Course: https://lnkd.in/gg2BAW9k 7. NLP with Deep Learning – CS224N • Learn how neural networks power translation, Q&A, and sentiment tasks. → Course: https://lnkd.in/gWvnNXB2 Use these courses to go from “using AI” to actually building it. 📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4 👉 Follow me Andrew Bolis for more and 🔄 Repost this to help others learn AI

💡 Stanford Just Released Its Entire AI Curriculum — Completely Free Same world-class professors. Same powerful content. Zero cost to you. 🔥 Huge shoutout to Basia Kubicka for curating this incredible list — if you’re serious about learning AI, give her a follow! Here’s the truth: most people use AI without ever truly understanding it. They prompt. They paste. They move on. But the real opportunity isn’t in using AI — it’s in understanding it. When you know the logic, the math, and the models behind it, you stop chasing trends and start leading innovation. ✨ Learn how it works. Lead with it. Build the future. Here are 7 FREE Stanford AI courses to get you started 👇 1️⃣ CS221: Artificial Intelligence 🔹 Search, reasoning, and planning systems 🔹 How AI makes decisions and solves problems 🔗 https://lnkd.in/dWp-4Qmx 2️⃣ CS229: Machine Learning (Andrew Ng) 🔹 Supervised & unsupervised learning 🔹 Regression, classification, and clustering 🔗 https://lnkd.in/dNuiW9BM 3️⃣ CS230: Deep Learning (Andrew Ng) 🔹 Neural networks, CNNs, and RNNs 🔹 Best practices for building deep models 🔗 https://lnkd.in/dZRdJhWb 4️⃣ CS229M: Machine Learning Theory 🔹 The math behind ML algorithms 🔹 Statistical learning theory & generalization 🔗 https://lnkd.in/dmyS2WZr 5️⃣ CS234: Reinforcement Learning 🔹 Q-learning, policy gradients, and decision systems 🔹 How game AIs learn and adapt 🔗 https://lnkd.in/dh6QWS_f 6️⃣ CS224U: Natural Language Understanding 🔹 Semantic analysis & dialogue systems 🔹 How AI interprets meaning and context 🔗 https://lnkd.in/dvyKbgni 7️⃣ CS224N: NLP with Deep Learning 🔹 Word embeddings & transformer architecture 🔹 The foundation of ChatGPT 🔗 https://lnkd.in/djv–NQa 🚀 Stop scrolling the AI hype. Start learning from the same professors teaching Stanford students. 📚 Bookmark this. 🤝 Share it. ✨ And actually learn AI — not just use it.j

Stanford just unlocked their full AI curriculum. The same world-class content. Now free for everyone. Same professors teaching Stanford students. Most people "use AI" without understanding it. They prompt. They paste. They move on. If you understand HOW AI works you’ll be ahead of most people. Here are 7 FREE courses you don't want to miss: 1️⃣ CS221: Artificial Intelligence • Search algorithms, reasoning, and planning systems • How AI makes decisions and solves problems 🔗 https://lnkd.in/dWp-4Qmx 2️⃣ CS229: Machine Learning (Andrew Ng) • Supervised and unsupervised learning algorithms • Regression, classification, and clustering explained 🔗 https://lnkd.in/dNuiW9BM 3️⃣ CS230: Deep Learning (Andrew Ng) • Neural networks, CNNs, and RNNs • Best practices for building deep models 🔗 https://lnkd.in/dZRdJhWb 4️⃣ CS229M: Machine Learning Theory • Mathematical proofs behind ML algorithms • Statistical learning theory and generalization 🔗 https://lnkd.in/dmyS2WZr 5️⃣ CS234: Reinforcement Learning • Markov decision processes and Q-learning • Policy gradients that power game AI 🔗 https://lnkd.in/dh6QWS_f 6️⃣ CS224U: Natural Language Understanding • Semantic analysis and dialogue systems • How AI interprets meaning and context 🔗 https://lnkd.in/dvyKbgni 7️⃣ CS224N: NLP with Deep Learning • Word embeddings and transformer architecture • Modern NLP that powers ChatGPT 🔗 https://lnkd.in/djv--NQa Bookmark this. Share it. Actually use it.

Stanford just unlocked their full AI curriculum. The same world-class content. Now free for everyone. Same professors teaching Stanford students. Most people "use AI" without understanding it. They prompt. They paste. They move on. If you understand HOW AI works you’ll be ahead of most people. Here are 7 FREE courses you don't want to miss: 1️⃣ CS221: Artificial Intelligence • Search algorithms, reasoning, and planning systems • How AI makes decisions and solves problems 🔗 https://lnkd.in/dWp-4Qmx 2️⃣ CS229: Machine Learning (Andrew Ng) • Supervised and unsupervised learning algorithms • Regression, classification, and clustering explained 🔗 https://lnkd.in/dNuiW9BM 3️⃣ CS230: Deep Learning (Andrew Ng) • Neural networks, CNNs, and RNNs • Best practices for building deep models 🔗 https://lnkd.in/dZRdJhWb 4️⃣ CS229M: Machine Learning Theory • Mathematical proofs behind ML algorithms • Statistical learning theory and generalization 🔗 https://lnkd.in/dmyS2WZr 5️⃣ CS234: Reinforcement Learning • Markov decision processes and Q-learning • Policy gradients that power game AI 🔗 https://lnkd.in/dh6QWS_f 6️⃣ CS224U: Natural Language Understanding • Semantic analysis and dialogue systems • How AI interprets meaning and context 🔗 https://lnkd.in/dvyKbgni 7️⃣ CS224N: NLP with Deep Learning • Word embeddings and transformer architecture • Modern NLP that powers ChatGPT 🔗 https://lnkd.in/djv--NQa Bookmark this. Share it. Actually use it. Follow me, Joanne Harrison as I take you along the AI journey through my lens!

AI won’t replace researchers, but researchers that use AI could soon replace researchers that don’t. Here’s a great opportunity to learn more about what the technology is and is not.

Reposting this valuable resource curated by Basia Kubicka. Cut through the AI noise and get hands-on with the fundamentals behind the systems reshaping every industry. Stanford just made its full AI curriculum public, same professors, same depth, zero cost. In finance, strategy, and transformation, understanding the logic behind AI decisions is becoming as essential as interpreting financial models. Here are seven foundational courses worth saving: 1️⃣ CS221: Artificial Intelligence • Search algorithms, reasoning, and planning systems • How AI makes decisions and solves problems 🔗 https://lnkd.in/dWp-4Qmx 2️⃣ CS229: Machine Learning (Andrew Ng) • Supervised and unsupervised learning algorithms • Regression, classification, and clustering explained 🔗 https://lnkd.in/dNuiW9BM 3️⃣ CS230: Deep Learning (Andrew Ng) • Neural networks, CNNs, and RNNs • Best practices for building deep models 🔗 https://lnkd.in/dZRdJhWb 4️⃣ CS229M: Machine Learning Theory • Mathematical proofs behind ML algorithms • Statistical learning theory and generalization 🔗 https://lnkd.in/dmyS2WZr 5️⃣ CS234: Reinforcement Learning • Markov decision processes and Q-learning • Policy gradients that power game AI 🔗 https://lnkd.in/dh6QWS_f 6️⃣ CS224U: Natural Language Understanding • Semantic analysis and dialogue systems • How AI interprets meaning and context 🔗 https://lnkd.in/dvyKbgni 7️⃣ CS224N: NLP with Deep Learning • Word embeddings and transformer architecture • Modern NLP that powers ChatGPT 🔗 https://lnkd.in/djv--NQa ♻️ Thanks to Basia Kubicka for sharing something that truly matters. #AI #Learning #Strategy #DigitalTransformation #Leadership