Description: Further DetailsTitle: Debugging Machine Learning Models with PythonCondition: NewSubtitle: Develop high-performance, low-bias, and explainable machine learning and deep learning modelsISBN-10: 1800208588EAN: 9781800208582ISBN: 9781800208582Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 09/15/2023Description: Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world successKey FeaturesLearn 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 eBookBook DescriptionDebugging 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 learnEnhance 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 forThis 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 235mmItem Length: 191mmAuthor: Ali MadaniContributor: Stephen MacKinnon (Foreword by)Genre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Debugging Machine Learning Models with Python
Title: Debugging Machine Learning Models with Python
Subtitle: Develop high-performance, low-bias, and explainable machine learn
ISBN-10: 1800208588
EAN: 9781800208582
ISBN: 9781800208582
Release Date: 09/15/2023
Release Year: 2023
Country/Region of Manufacture: GB
Item Height: 235mm
Contributor: Stephen MacKinnon (Foreword by)
Genre: Computing & Internet
Publication Name: Debugging Machine Learning Models with Python : Develop High-Performance, Low-bias, and Explainable Machine Learning and Deep Learning Models
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2023
Subject: Intelligence (Ai) & Semantics
Type: Textbook
Item Length: 92.5 in
Author: Ali Madani
Subject Area: Computers
Item Width: 75 in
Format: Trade Paperback
