Machine Learning Yearning Andrew NG
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 46264
- Number of Pages: 118
Rs.390.00
Rs.625.00
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"Machine Learning Yearning" by Andrew Ng is an insightful and practical guide designed to help engineers and machine learning practitioners build successful AI projects. Drawing on his extensive experience in the field, Ng provides readers with a clear roadmap for structuring machine learning projects, improving performance, and ensuring effective deployment. The book emphasizes practical tips and strategies for navigating common challenges in machine learning, making it an invaluable resource for anyone looking to advance their understanding and application of AI technologies.
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Project Structuring
Ng outlines best practices for organizing and planning machine learning projects, including defining objectives, selecting appropriate algorithms, and setting up effective workflows. -
Error Analysis
The book emphasizes the importance of conducting thorough error analysis to identify the root causes of issues and make targeted improvements to model performance. -
Iterative Improvement
Ng advocates for an iterative approach to refining machine learning models, including techniques for tuning hyperparameters, adjusting training data, and optimizing model architecture. -
Transfer Learning
The text covers the concept of transfer learning and its practical applications, explaining how pre-trained models can be adapted for new tasks to save time and computational resources. -
Deployment Strategies
Ng provides guidance on deploying machine learning models in real-world settings, discussing considerations such as scalability, monitoring, and maintenance to ensure long-term success.
Conclusion
"Machine Learning Yearning" by Andrew Ng is a must-read for machine learning practitioners seeking to enhance their project management and implementation skills. With its focus on practical strategies for project structuring, error analysis, iterative improvement, transfer learning, and deployment, this book offers a comprehensive framework for achieving success in AI endeavors.
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Writer ✤ Andrew NG
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