Michael Munn – författare
605 kr
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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 modelsRepresent data for different ML model types, including embeddings, feature crosses, and moreChoose the right model type for specific problemsBuild a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuningDeploy scalable ML systems that you can retrain and update to reflect new dataInterpret model predictions for stakeholders and ensure models are treating users fairly
605 kr
Läs direkt efter köp
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 modelsRepresent data for different ML model types, including embeddings, feature crosses, and moreChoose the right model type for specific problemsBuild a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuningDeploy scalable ML systems that you can retrain and update to reflect new dataInterpret model predictions for stakeholders and ensure models are treating users fairly
708 kr
Läs direkt efter köp
Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does.
Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you''ll be able to apply these tools more easily in your daily workflow.
This essential book provides:
A detailed look at some of the most useful and commonly used explainability techniques, highlighting pros and cons to help you choose the best tool for your needsTips and best practices for implementing these techniquesA guide to interacting with explainability and how to avoid common pitfallsThe knowledge you need to incorporate explainability in your ML workflow to help build more robust ML systemsAdvice about explainable AI techniques, including how to apply techniques to models that consume tabular, image, or text dataExample implementation code in Python using well-known explainability libraries for models built in Keras and TensorFlow 2.0, PyTorch, and HuggingFace
708 kr
Läs direkt efter köp
Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does.
Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you''ll be able to apply these tools more easily in your daily workflow.
This essential book provides:
A detailed look at some of the most useful and commonly used explainability techniques, highlighting pros and cons to help you choose the best tool for your needsTips and best practices for implementing these techniquesA guide to interacting with explainability and how to avoid common pitfallsThe knowledge you need to incorporate explainability in your ML workflow to help build more robust ML systemsAdvice about explainable AI techniques, including how to apply techniques to models that consume tabular, image, or text dataExample implementation code in Python using well-known explainability libraries for models built in Keras and TensorFlow 2.0, PyTorch, and HuggingFace
606 kr
Skickas inom 5-8 vardagar
200 kr
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785 kr
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Wherever we are in the quality movement, there is more to discover--to explore. Today, quality serves business as a way of increasing profits. That is one end of a spectrum. Tomorrow, quality takes business into the rest of the spectrum. In this new dimension, business learns to serve, and be served, from a foundation of unconditional love. At the other end of the spectrum is quality''s far-reaching goal--the attainment of harmony between people and the entire cosmos. This goal reveals the gap, and steps, between it and what we do today. This book is intended for explorers and pioneers. It is not for those who are comfortable in today''s paradigms. It is for those who search and yearn for new ways bring heart into the world of business and society. It is not for those who are comfortable living an unexamined and changeless life. It is for those who sense a thrill in the heart with the changes of each new day.Experience, not dry learning, is the heart of this book. For this reason, "Practical Exercises" are included in most of the chapters. They are experiences of things that can be known, but not told or taught. Without the exercises, your knowing will be superficial. With them, you can enter into dimensions unknown to you today.Michael W. Munn, Ph.D., heads the Gaia Center for Quality in Palo Alto, California. He provides keynotes, experiential change seminars, and business quality workshops. Strategic planning, executive development, proposal, and reengineering efforts are among the topics of his workshops.
792 kr
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Wherever we are in the quality movement, there is more to discover--to explore. Today, quality serves business as a way of increasing profits. That is one end of a spectrum. Tomorrow, quality takes business into the rest of the spectrum. In this new dimension, business learns to serve, and be served, from a foundation of unconditional love. At the other end of the spectrum is quality''s far-reaching goal--the attainment of harmony between people and the entire cosmos. This goal reveals the gap, and steps, between it and what we do today. This book is intended for explorers and pioneers. It is not for those who are comfortable in today''s paradigms. It is for those who search and yearn for new ways bring heart into the world of business and society. It is not for those who are comfortable living an unexamined and changeless life. It is for those who sense a thrill in the heart with the changes of each new day.Experience, not dry learning, is the heart of this book. For this reason, "Practical Exercises" are included in most of the chapters. They are experiences of things that can be known, but not told or taught. Without the exercises, your knowing will be superficial. With them, you can enter into dimensions unknown to you today.Michael W. Munn, Ph.D., heads the Gaia Center for Quality in Palo Alto, California. He provides keynotes, experiential change seminars, and business quality workshops. Strategic planning, executive development, proposal, and reengineering efforts are among the topics of his workshops.
2 893 kr
Skickas inom 10-15 vardagar
204 kr
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185 kr
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512 kr
Skickas inom 3-6 vardagar