Brandeis Hill Marshall – författare
Visar alla böcker från författaren Brandeis Hill Marshall. Handla med fri frakt och snabb leverans.
5 produkter
Data Conscience
Algorithmic Siege on our Humanity
Häftad, 2022
316 kr
Lägg i varukorg
DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed ‘bystander’ status as we’ve attempted to digitize responsibility and morality in tech. In fact, data’s importance should earn it a spot at the center of our thinking and …
Data Conscience
Algorithmic Siege on our Humanity
E-bok, 2022
521 kr
Lägg i varukorg
DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed ‘bystander’ status as we’ve attempted to digitize responsibility and morality in tech. In fact, data’s importance should earn it a spot at the center of our thinking and …
Data Conscience
Algorithmic Siege on our Humanity
E-bok, 2022
521 kr
Lägg i varukorg
DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed ‘bystander’ status as we’ve attempted to digitize responsibility and morality in tech. In fact, data’s importance should earn it a spot at the center of our thinking and …
Mitigating Bias in Machine Learning
Av Carlotta A. Berry, Brandeis Hill Marshall
Häftad, 2024
602 kr
Lägg i varukorg
This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation …
Mitigating Bias in Machine Learning
Av Brandeis Hill Marshall, Carlotta A. Berry
E-bok, 2024
648 kr
Lägg i varukorg
This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation …
