Applied ML & AI for Engineers — The Essential Fundamentals (Book Summary) скачать в хорошем качестве

Applied ML & AI for Engineers — The Essential Fundamentals (Book Summary)

Get the book: https://amzn.to/4iTKGC8 This video summarizes “Applied Machine Learning and AI for Engineers,” a practical and engineering-first guide designed to help professionals understand, build, and deploy real-world ML systems. Instead of focusing on academic theory, this book delivers hands-on, applied fundamentals tailored for engineers working across software, hardware, data systems, automation, and product development. 🔥 What you’ll learn in this summary: The core principles of applied machine learning (minus the heavy math) How engineers should think about data pipelines, feature engineering, and system constraints Model selection for real-world reliability—not just benchmark performance How to integrate ML into existing engineering workflows and architectures Practical techniques for validation, testing, versioning, and deployment The engineering challenges: latency, scaling, monitoring, and failure modes Real examples of applied ML across operations, manufacturing, software, robotics, and IoT A pragmatic mindset: build models that work, not just models that look good on paper This book provides a clear, structured, and realistic path for engineers who want to transition into AI or integrate ML into their current disciplines. If you’re serious about understanding applied ML fundamentals, this summary will give you the essentials in a simple, engineer-friendly way. 👉 Subscribe for more technical AI book summaries and engineering-focused breakdowns! #machinelearning ---- 📢 List of BEST AI TOOLS That Are 100% FREE: https://iseoai.com/pricing/free/ 📢 Explore the latest free #AItools at https://iseoai.com/ #aibook #podcast #booksummary #TheChatGPTMillionaire #iseoai