Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists /: a guide for business users and data scientists. ([2019])
- Record Type:
- Book
- Title:
- Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists /: a guide for business users and data scientists. ([2019])
- Main Title:
- Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists
- Further Information:
- Note: Tobias Baer.
- Authors:
- Baer, Tobias
- Contents:
- Part I: An Introduction to Biases and Algorithms.- Chapter 1: Introduction.- Chapter 2: Bias in Human Decision-Making.- Chapter 3: How Algorithms Debias Decisions.- Chapter 4: The Model Development Process.- Chapter 5: Machine Learning in a Nutshell.- Part II: Where Does Algorithmic Bias Come From?.- Chapter 6: How Real World Biases Will Be Mirrored by Algorithms.- Chapter 7: Data Scientists' Biases.- Chapter 8: How Data Can Introduce Biases.- Chapter 9: The Stability Bias of Algorithms.- Chapter 10: Biases Introduced by the Algorithm Itself.- Chapter 11: Algorithmic Biases and Social Media.- Part III: What to Do About Algorithmic Bias from a User Perspective.- Chapter 12: Options for Decision-Making.- Chapter 13: Assessing the Risk of Algorithmic Bias.- Chapter 14: How to Use Algorithms Safely.- Chapter 15: How to Detect Algorithmic Biases.- Chapter 16: Managerial Strategies for Correcting Algorithmic Bias.- Chapter 17: How to Generate Unbiased Data.- Part IV: What to Do About Algorithmic Bias from a Data Scientist's Perspective.- Chapter 18: The Data Scientist's Role in Overcoming Algorithmic Bias.- Chapter 19: An X-Ray Exam of Your Data.- Chapter 20: When to Use Machine Learning.- Chapter 21: How to Marry Machine Learning with Traditional Methods.- Chapter 22: How to Prevent Bias in Self-Improving Models.- Chapter 23: How to Institutionalize Debiasing.
- Publisher Details:
- New York, NY : Apress
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 001.4/33
Research -- Statistical methods
Machine learning -- Social aspects
Electronic books - Languages:
- English
- ISBNs:
- 9781484248850
1484248856 - Related ISBNs:
- 9781484248843
- Notes:
- Note: Description based on online resource; title from digital title page (viewed on July 18, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.431897
- Ingest File:
- 02_550.xml