My starter pack recommendations to learn about bias and equity in tech, namely machine learning.
1

by
3.99 avg rating — 1,277 ratings
Rate this book
Clear rating
2

by
3.87 avg rating — 30,821 ratings
Rate this book
Clear rating
3

by
4.12 avg rating — 514 ratings
Rate this book
Clear rating
4

by
4.33 avg rating — 179,171 ratings
Rate this book
Clear rating
5

by
4.25 avg rating — 2,540 ratings
Rate this book
Clear rating
6

by
4.29 avg rating — 1,586 ratings
Rate this book
Clear rating
7

by
3.89 avg rating — 4,025 ratings
Rate this book
Clear rating
8

by
4.40 avg rating — 287,361 ratings
Rate this book
Clear rating
9

by
really liked it 4.00 avg rating — 7 ratings
Rate this book
Clear rating
9

by
4.05 avg rating — 6,117 ratings
Rate this book
Clear rating
9

by
4.19 avg rating — 94 ratings
Rate this book
Clear rating
9

by
it was amazing 5.00 avg rating — 1 rating
Rate this book
Clear rating
13

by
4.11 avg rating — 12,135 ratings
Rate this book
Clear rating
13

by
4.06 avg rating — 114 ratings
Rate this book
Clear rating
13

by
4.80 avg rating — 5 ratings
Rate this book
Clear rating
16

by
3.40 avg rating — 25 ratings
Rate this book
Clear rating
17

by
4.10 avg rating — 685 ratings
Rate this book
Clear rating
18

by
4.07 avg rating — 2,542 ratings
Rate this book
Clear rating
18

by
4.02 avg rating — 54 ratings
Rate this book
Clear rating
20

by
4.27 avg rating — 63 ratings
Rate this book
Clear rating
20

by
4.01 avg rating — 243 ratings
Rate this book
Clear rating
22

by
4.28 avg rating — 2,496 ratings
Rate this book
Clear rating
22 books · 35 voters · list created June 14th, 2020 by Lorena Mesa (votes) .
10 likes · 
Lists are re-scored approximately every 5 minutes.


Lorena 4 books
0 friends
Joe 904 books
74 friends
Mary 930 books
43 friends
Monika 291 books
60 friends
Jolis 670 books
51 friends
Charity 358 books
49 friends
Amy 756 books
3 friends
James 339 books
26 friends

More voters…


No comments have been added yet.




Related News

San Francisco is a gold rush town. There aren’t many books about people in their 20s who move to Silicon Valley with dreams of earning a living...

Anyone can add books to this list.