Verwandte Artikel zu Debugging Machine Learning Models with Python: Develop...
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models - Softcover
Inhaltsangabe
Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world success
Key Features:
- Learn how to improve performance of your models and eliminate model biases
- Strategically design your machine learning systems to minimize chances of failure in production
- Discover advanced techniques to solve real-world challenges
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the expertise essential for building reliable, high-performance models for industrial applications. Whether you're a data scientist, analyst, machine learning engineer, or Python developer, this book will empower you to design modular systems for data preparation, accurately train and test models, and seamlessly integrate them into larger technologies.
By bridging the gap between theory and practice, you'll learn how to evaluate model performance, identify and address issues, and harness recent advancements in deep learning and generative modeling using PyTorch and scikit-learn. Your journey to developing high quality models in practice will also encompass causal and human-in-the-loop modeling and machine learning explainability. With hands-on examples and clear explanations, you'll develop the skills to deliver impactful solutions across domains such as healthcare, finance, and e-commerce.
What You Will Learn:
- Enhance data quality and eliminate data flaws
- Effectively assess and improve the performance of your models
- Develop and optimize deep learning models with PyTorch
- Mitigate biases to ensure fairness
- Understand explainability techniques to improve model qualities
- Use test-driven modeling for data processing and modeling improvement
- Explore techniques to bring reliable models to production
- Discover the benefits of causal and human-in-the-loop modeling
Who this book is for:
This book is for data scientists, analysts, machine learning engineers, Python developers, and students looking to build reliable, high-performance, and explainable machine learning models for production across diverse industrial applications. Fundamental Python skills are all you need to dive into the concepts and practical examples covered. Whether you're new to machine learning or an experienced practitioner, this book offers a breadth of knowledge and practical insights to elevate your modeling skills.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Ali Madani worked as the director of machine learning at Cyclica Inc leading AI technology development front of Cyclica for drug discovery before acquisition of Cyclica by Recursion Pharmaceuticals. Ali completed his PhD at University of Toronto focusing on machine learning modeling in cancer setting and attained a Master of Mathematics from the University of Waterloo. As a believer in industry-oriented education and pro-democratization of knowledge, Ali has actively educated students and professionals through international workshops and courses on basic and advanced high-quality machine learning modeling. When not immersed in machine learning modeling and teaching, Ali enjoys exercising, cooking and traveling with his partner.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 52,03
EUR 4,51 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Debugging Machine Learning Models with Python: Develop...
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781800208582
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9781800208582
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9781800208582_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781800208582
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models (Paperback or Softback)
Verlag:
Packt Publishing 9/15/2023, 2023
ISBN 10: 1800208588
ISBN 13: 9781800208582
Neu
Paperback or Softback
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback or Softback. Zustand: New. Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models 1.3. Book. Bestandsnummer des Verkäufers BBS-9781800208582
Anzahl: 5 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 46576028-n
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Verlag:
Packt Publishing Limited, 2023
ISBN 10: 1800208588
ISBN 13: 9781800208582
Neu
Paperback / softback
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526. Bestandsnummer des Verkäufers C9781800208582
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 46576028
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 46576028-n
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Debugging Machine Learning Models with Python : Develop high-performance, low-bias, and explainable machine learning and deep learning models
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world successKey Features:Learn how to improve performance of your models and eliminate model biasesStrategically design your machine learning systems to minimize chances of failure in productionDiscover advanced techniques to solve real-world challengesPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the expertise essential for building reliable, high-performance models for industrial applications. Whether you're a data scientist, analyst, machine learning engineer, or Python developer, this book will empower you to design modular systems for data preparation, accurately train and test models, and seamlessly integrate them into larger technologies.By bridging the gap between theory and practice, you'll learn how to evaluate model performance, identify and address issues, and harness recent advancements in deep learning and generative modeling using PyTorch and scikit-learn. Your journey to developing high quality models in practice will also encompass causal and human-in-the-loop modeling and machine learning explainability. With hands-on examples and clear explanations, you'll develop the skills to deliver impactful solutions across domains such as healthcare, finance, and e-commerce.What You Will Learn:Enhance data quality and eliminate data flawsEffectively assess and improve the performance of your modelsDevelop and optimize deep learning models with PyTorchMitigate biases to ensure fairnessUnderstand explainability techniques to improve model qualitiesUse test-driven modeling for data processing and modeling improvementExplore techniques to bring reliable models to productionDiscover the benefits of causal and human-in-the-loop modelingWho this book is for:This book is for data scientists, analysts, machine learning engineers, Python developers, and students looking to build reliable, high-performance, and explainable machine learning models for production across diverse industrial applications. Fundamental Python skills are all you need to dive into the concepts and practical examples covered. Whether you're new to machine learning or an experienced practitioner, this book offers a breadth of knowledge and practical insights to elevate your modeling skills. Bestandsnummer des Verkäufers 9781800208582
Anzahl: 1 verfügbar