17. Is this item a fanny pack?
Is this item relevant to the
query âfanny packâ?
On a scale of 1-10 how
âfanny packâ is this thing?
Which of these is the most
âfanny packâ?
Crowd Sourcing
36. Modern ML applications are comprised of an
increasingly diverse mix of libraries and systems...Even if
each of these libraries is optimized in isolation, real
pipelines combine multiple libraries, so production use at
scale usually requires a software engineering team to
rewrite the whole application in low-level codeâ
37. words = []
for word in title.split():
words.append(stripNonAlphaNumeric(
word.strip()
))
val words = title
.trim
.split(" ")
.map(w => w.trim)
.map(w => stripNonAlphaNumeric(w))
.map(w => stem(w))
Training
Inference