Machine Learning Engineering

Machine Learning Engineering

Machine Learning Engineering

Machine Learning Engineering in Action

Machine Learning Engineering with Python: Systems, Pipelines, and MLOps

Machine Learning Engineering mit Python: Algorithmen, Datenverarbeitung und Bereitstellungstechniken

MLE‑STAR: Google’s Self‑Improving Machine Learning Engineering Agent

Machine Learning Engineering with Python: Algorithms, Data Processing, and Deployment Techniques

MLE‑STAR: Google’s Self‑Improving Machine Learning Engineering Agent

LLMs, RAG and Agents: Generative AI System Design For Machine Learning Engineers

The Complete Machine Learning Engineer Cookbook for Everyone: Become an AI Developer with Python (AI Mastery)

PyTorch Machine Learning Engineering Handbook: Modern Workflows for LLMs and Beyond (Machine Learning Mastery Toolkit)

Machine Learning Engineering with Python: Algorithms, Data Preprocessing, and Real-World Deployment Strategies

Machine Learning Engineering on AWS: Operationalize and optimize Generative AI systems and LLMOps pipelines in production

Azure Machine Learning Engineering: Deploy, fine-tune, and optimize ML models using Microsoft Azure

Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

ONNX for Machine Learning Engineers: The Complete Handbook to Accelerating PyTorch, TensorFlow, and Scikit-Learn Models for Real-World Deployment

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

Top 100 Machine Learning Engineer Interview questions: Fully Solved: Explain Models, Data, and Tradeoffs Clearly (Top 100 Interview Questions: Technology and Engineering Series)

Top 100 Machine Learning Engineer Interview questions: Fully Solved: Explain Models, Data, and Tradeoffs Clearly (Top 100 Interview Questions: Technology and Engineering Series)

Machine Learning Engineering with Python: Build, Deploy, and Scale Real-World ML Systems with MLOps, Cloud Pipelines, and Production-Ready AI Solutions

AWS Certified Machine Learning Engineer – Associate Exam Notes & Practice Tests: 8 Full-Length Practice Exams with Answer Explanations | 500+ Practice Questions | Key Exam Notes

From Turing to Transformers: The Evolution of Machine Learning Engineering & Introductory Technical Implementations. (STEM Technology Career Skills - ... Best Practices for your chosen profession.)

GOOGLE CLOUD PROFESSIONAL MACHINE LEARNING ENGINEER | MASTER THE EXAM: 8 PRACTICE TESTS, 400 SCENARIO QUESTIONS, 350+ EXAM FOCUSED TIPS, 375+ CAUTION ALERTS AND CONCISE EXPLANATIONS

AWS CERTIFIED MACHINE LEARNING ENGINEER - ASSOCIATE | EXAM CODE: MLA-C01 | FAST TRACK PREPARATION, 6 FULL LENGTH PRACTICE TESTS, 500+ FOUNDATIONAL ... 500+ CAUTION ALERTS, CONCISE EXPLANATIONS

Machine Learning Engineering

Machine Learning Engineering in Action