Machine Learning Design Patterns. Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. 1st Ed. 244770

Паперова книга
244770
Machine Learning Design Patterns. Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. 1st Ed. - фото 1
2'200

Все про “Machine Learning Design Patterns. Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. 1st Ed.”

Від видавця

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.
In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation.
You'll learn how to:
  • Identify and mitigate common challenges when training, evaluating, and deploying ML models
  • Represent data for different ML model types, including embeddings, feature crosses, and more
  • Choose the right model type for specific problems
  • Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning
  • Deploy scalable ML systems that you can retrain and update to reflect new data
  • Interpret model predictions for stakeholders and ensure models are treating users fairly

Рецензії

0

Всі характеристики

Товар входить до категорії

  • Самовивіз з відділень поштових операторів від 45 ₴ - 80 ₴
  • Безкоштовна доставка від 3000 грн
Схожі товари
AI and Machine Learning for On-Device Development: A Programmer's Guide. 1st Ed.
244740
Laurence Moroney
2'200 ₴
Practical AI on the Google Cloud Platform. Learn How to Use the Latest AI Cloud Services on the Google Cloud Platform
173878
Micheal Lanham
2'600 ₴
Practical Weak Supervision: Doing More with Less Data. 1st Ed.
244781
Wee Hyong Tok, Amit Bahree
2'600 ₴
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs 1st Edition
276180
James PhoenixMike Taylor
2'600 ₴
Штучний інтелект: сучасний підхід (AIMA-2). 2-е вид.
891
Стюарт РасселПитер Норвиг
2'700 ₴
Machine Learning System Design Interview
239864
Ali AminianAlex Xu
2'700 ₴
Computer Vision: Object Detection In Adversarial Vision 1st Edition
269108
Mrinal Kanti Bhowmik
2'700 ₴
Handbook of Face Recognition: The Deep Neural Network Approach 3rd ed. 2024 Edition
280746
Stan Z. LiAnil K. JainJiankang Deng
3'200 ₴