Susan Harkins (299) [Avatar] Offline
#1
Please post errors found in the published version of Real-World Machine Learning here. We'll publish a comprehensive list for everyone's convenience. Thank you!

Susan Harkins
Errata Editor
322663 (2) [Avatar] Offline
#2
(Comment removed)
189391 (4) [Avatar] Offline
#3
Listing 8.1
d_test = d[int((1-split)*len(d)):]

should be
d_test = d[int((split)*len(d)):]

413717 (1) [Avatar] Offline
#4
Page 29, Paragraph 4 (Finally, each of these ...), Line 10

'to taker smarter actions' should be 'to take smarter actions'.
405859 (6) [Avatar] Offline
#5
I'm not sure if this is an error, but figure 3.6 does not include the target, i.e., whether the passenger survived or not.
405859 (6) [Avatar] Offline
#6
Awkward wording in 4.2.1
In 4.2.1, the author states "For example, you can analyze the accuracy per class (how many were predicted to survive but actually died or survived)."

All of the passengers died or survived ... unless this is some obscure reference to Schrodinger's cat ... so this sentence probably needs revising.
521374 (1) [Avatar] Offline
#7
I am not sure if this qualifies as errata or not. Perhaps I am simply missing something. Below is the text that immediately precedes and follow Figure 6.12. I cannot see how a plot of the geographical distribution of taxi passenger drop offs that includes both tipping and non-tipping passengers can then show a trend of not tipping in a particular part of the city.

"Figure 6.12 plots the geographical distribution of drop-offs that yield tips from the passenger, as well as drop-offs from trips that don’t."


"Figure 6.12 shows an interesting trend of not tipping when being dropped off closer to the center of the city."