DeepLearning.AI

AI is for everyone! We’re here to help you get started.💡 From foundational concepts to solving real-world challenges, our long-form courses are designed for learners at every level. Swipe through to explore your next steps in learning to use and build with AI! Find your next course 👉 https://bit.ly/4eCo31k

This week, in The Batch, Andrew Ng shares three big takeaways from DeepSeek’s big week. Plus: 🧠 How DeepSeek-R1 and Kimi k1.5 use reinforcement learning to improve chain-of-thought 🌐 OpenAI launches Operator, its first web agent 📊 A smarter way to fine-tune models with synthetic data Read The Batch: https://hubs.la/Q034M5nd0

Getting lost in the mountains? Gradient descent is your metaphorical guide — and a key to navigating the complex loss landscapes of machine learning. Learn how this algorithm minimizes error, optimizes predictions, and powers AI tasks like image recognition and speech generation. Explore its history and impact: https://hubs.la/Q034J6FM0

😎 . . . . . Original seen on Memes for Programmers on Reddit

Bill Inmon, recognized as an early pioneer of the data warehouse, has always said that he doesn’t know what he would have done if he didn’t have the computer profession. He wrote his first program as a student in 1965 and the rest is history. Bill is one of the guest instructors in the Data Engineering Professional Certificate. Learn more about his career path in his conversation with Joe Reis in the course: https://hubs.la/Q033_Kcf0

Learners in the Data Engineering Professional Certificate are not only gaining technical expertise but also appreciating the thoughtful approach to teaching and the many real-world examples provided in each course. Read their experiences with hands-on labs, practical tools like Airflow, and insights from industry experts. Learn more about the certificate here: https://bit.ly/3PP48SN

Researchers at Princeton and IIT Madras used deep learning and evolutionary algorithms to design high-performance integrated circuits for wireless communications. By training convolutional neural networks (CNNs) on circuit design simulations, they generated and optimized new designs faster than traditional methods. The new designs defied conventional engineering intuition but performed well, completing in minutes what usually takes weeks. Read our summary of the paper in The Batch: https://hubs.la/Q033_Hmf0

Build LLM-based apps that can handle very long documents! In this free course, you’ll learn how Jamba’s hybrid architecture combines transformer and Mamba models for efficient, high-quality outputs. Gain hands-on experience building long-context RAG apps. Join for free: https://hubs.la/Q033_JTP0

Data wasn’t always seen as the goldmine it's viewed as today—it was once just a byproduct of software applications. Now, it’s a foundation of many modern business, and data engineers play a central role in them. In the Data Engineering Professional Certificate, you will learn how to design systems for ingesting, storing, transforming, and serving data, while gaining practical skills for this in-demand field. Build your expertise in data engineering. Start today: https://hubs.la/Q033_JTL0

How DeepSeek uses a Mixture of Experts architecture and other training techniques to outperform more expensive models 👇 https://hubs.la/Q0347b7q0