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Mastering Automated Machine Learning Concepts, Tools, and Techniques - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: E-Books (https://softwarez.info/Forum-E-Books) +--- Thread: Mastering Automated Machine Learning Concepts, Tools, and Techniques (/Thread-Mastering-Automated-Machine-Learning-Concepts-Tools-and-Techniques) |
Mastering Automated Machine Learning Concepts, Tools, and Techniques - ebooks1001 - 06-29-2025 ![]() Free Download Mastering Automated Machine Learning: Concepts, Tools, and Techniques English | 2024 | ISBN: B0DGLPBM7K | Pages: 353 | EPUB (True) | 332.08 KB "Mastering Automated Machine Learning: Concepts, Tools, and Techniques" is an essential guide for anyone seeking to unlock the full potential of Automated Machine Learning (AutoML), a groundbreaking technology transforming the field of data science. By automating complex and time-consuming processes, AutoML is making machine learning more efficient and accessible to a broader range of professionals. This book offers an in-depth exploration of core principles, state-of-the-art methodologies, and the practical tools that define AutoML. From data preparation and feature engineering to model selection, tuning, and deployment, readers will acquire a thorough understanding of how AutoML streamlines the entire machine learning pipeline. Whether you're a data scientist, machine learning engineer, or software developer eager to harness the power of automation, "Mastering Automated Machine Learning" provides the insights you need to implement cutting-edge AutoML solutions. With practical examples and guidance on using Python-based frameworks, this book equips you to revolutionize your data science projects. Embrace the future of machine learning and optimize your workflows with "Mastering Automated Machine Learning: Concepts, Tools, and Techniques." Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Links are Interchangeable - Single Extraction |