{"product_id":"building-machine-learning-powered-applications","title":"Building Machine Learning Powered Applications","description":"\u003cp\u003eUnlock the full potential of machine learning models by taking them from experimental prototypes to robust, production-ready applications. This practical guide by Emmanuel Ameisen demystifies the entire ML application lifecycle, providing a clear roadmap for engineers and data scientists looking to deploy, monitor, and continuously improve their ML systems in real-world environments.\u003c\/p\u003e\u003ch4\u003eWhy You Should Read?\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003eLearn a structured approach to transition machine learning models from experimentation to production.\u003c\/li\u003e\n\u003cli\u003eMaster best practices for data handling, feature engineering, model deployment, and continuous monitoring.\u003c\/li\u003e\n\u003cli\u003eGain practical insights and real-world strategies for building valuable and reliable ML-powered applications.\u003c\/li\u003e\n\u003cli\u003eIdeal for data scientists, ML engineers, and product managers aiming to build and deploy scalable ML solutions.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":46037615640829,"sku":"","price":1600.0,"currency_code":"NPR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0484\/4145\/8840\/files\/71t63G2FpyL._SL1312.jpg?v=1739541878","url":"https:\/\/biblionepal.com\/ar\/products\/building-machine-learning-powered-applications","provider":"BIBLIONEPAL","version":"1.0","type":"link"}