Errata

In Chapter 2, under "text extraction and cleanup" -> "spelling correction": For example, if ‘“Hello” is a valid word that is already present in the dictionary, then the addition of “o” (minimal) to “Hllo” would make the correction. -> Change "o" to "e" For example, if ‘“Hello” is a valid word that is already present in the dictionary, then the addition of “e” (minimal) to “Hllo” would make the correction.

Note from the Author or Editor:
Please replace: " then the addition of “o” (minimal) to “Hllo” would make the correction." with " then the addition of “e” (minimal) to “Hllo” would make the correction.

Pre-process your input to the ML model If the heuristic has a really *high prediction* for a particular kind of class, then it’s best to use it before feeding the data in your ML model. For instance, if for certain words in an email, there’s a 99% chance that it’s spam, then it’s best to classify that email as spam instead of sending it to an ML model. -> I guess a noun is left out after "high prediction" or say "If the heuristic predicts really well for a particular kind of class". Again, what a great book. Thank you for making such a great impact for people in this field! A lot of thanks. As it says, this book is more on the practical side, any recommendations on other good resources for going deeper? Checking the references if interested? I cannot appreciate it more.

Note from the Author or Editor:
Please replace "If the heuristic has a really *high prediction* for a particular kind of class, then it’s best to use it before feeding the data in your ML model." with "If the heuristic has a really high prediction rate for a particular kind of class, then it is best to use it before feeding the data in your ML model."

Given a sentence of, say, m words, it assigns a probability Pr(w1, w2, ….., wn) to the whole sentence. -> Given a sentence of, say, n words, it assigns a probability Pr(w1, w2, ….., wn) to the whole sentence.

Note from the Author or Editor:
Please correct the sentence, as suggested by the reader: " Given a sentence of, say, n words, it assigns a probability Pr(w1, w2, ….., wn) to the whole sentence. ". Printed/PDF version has: " Given a sentence of, say, m words" - replace "m" with "n".

an email my contain multiple meeting mentions, like in this example: “MountLogan was a good venue. Let us meet there tomorrow and have an all hands in MountRainer on Thursday.” -> in "an email my contain multiple meeting mentions", change "my" to "might"

Note from the Author or Editor:
Thanks a lot for this. “my” needs to be changed to “may”