Description: Further DetailsTitle: Hands-On Explainable AI (XAI) with PythonCondition: NewSubtitle: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI appsEAN: 9781800208131ISBN: 9781800208131Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 07/31/2020Description: Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces.Key FeaturesLearn explainable AI tools and techniques to process trustworthy AI resultsUnderstand how to detect, handle, and avoid common issues with AI ethics and biasIntegrate fair AI into popular apps and reporting tools to deliver business value using Python and associated toolsBook Description Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex. Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications. You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle. You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces. By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.What you will learnPlan for XAI through the different stages of the machine learning life cycleEstimate the strengths and weaknesses of popular open-source XAI applicationsExamine how to detect and handle bias issues in machine learning dataReview ethics considerations and tools to address common problems in machine learning dataShare XAI design and visualization best practicesIntegrate explainable AI results using Python modelsUse XAI toolkits for Python in machine learning life cycles to solve business problemsWho this book is for This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book. Some of the potential readers of this book include:Professionals who already use Python for as data science, machine learning, research, and analysisData analysts and data scientists who want an introduction into explainable AI tools and techniquesAI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applicationsLanguage: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Denis RothmanGenre: Computing & InternetISBN-10: 1800208138Release Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 80.71 USD
Location: GU14 0GT
End Time: 2024-11-16T18:50:45.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Return policy details:
Book Title: Hands-On Explainable AI (XAI) with Python
Title: Hands-On Explainable AI (XAI) with Python
Subtitle: Interpret, visualize, explain, and integrate reliable AI for fair
EAN: 9781800208131
ISBN: 9781800208131
Release Date: 07/31/2020
Release Year: 2020
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1800208138
Number of Pages: 454 Pages
Publication Name: Hands-On Explainable AI (XAI) with Python : Interpret, Visualize, Explain, and Integrate Reliable AI for Fair, Secure, and Trustworthy AI Apps
Language: English
Publisher: Packt Publishing, The Limited
Subject: Machine Theory, Intelligence (Ai) & Semantics, Neural Networks, General
Publication Year: 2020
Type: Textbook
Item Length: 3.6 in
Author: Denis Rothman
Subject Area: Computers, Science
Item Width: 3 in
Format: Trade Paperback
