More honestly: How I learned to pitch, a little bit, for the 1991 Denson book
I will use a minimum of muical jargon, because I just don’t know that much.
Here’s what you probably need to know first:
- The shapes,
- Major vs minor keys
| # I was sitting on a bus whose number's prime | |
| # factorization was 37 x 113. The prime factorization of the | |
| # number of the bus in front of me was 11 x 373. | |
| # I wonder how many other four-digit bus numbers | |
| # have a prime factorization with exactly those digits? | |
| # pip install sympy | |
| from itertools import chain | |
| from sympy.ntheory import factorint |
| from itertools import chain | |
| from sympy.ntheory import factorint | |
| def strp(n,p): | |
| if p == 1: | |
| return str(n) | |
| return str(n) + "^" + str(p) | |
| def strf(f): | |
| return "*".join([strp(k, f[k]) for k in sorted(f.keys())]) |
| (A) Face In The Crowd | |
| (Wish I Could Fly Like) Superman | |
| 1822! | |
| 20th Century Man | |
| A Gallon Of Gas | |
| A Hard Day's Night | |
| A Little Rhyme | |
| A Long Way From Home | |
| A Rock 'N' Roll Fantasy | |
| A Taste Of Honey |
| word | count | percentage of 688 songs | |
|---|---|---|---|
| stirring | 2 | 0.29069767441860467 | |
| semoc | 1 | 0.14534883720930233 | |
| rag | 1 | 0.14534883720930233 | |
| digital | 1 | 0.14534883720930233 | |
| doctor | 7 | 1.0174418604651163 | |
| mammie | 1 | 0.14534883720930233 | |
| lear | 1 | 0.14534883720930233 | |
| patsy | 1 | 0.14534883720930233 | |
| march | 2 | 0.29069767441860467 |
| refaccimentos | |
| recaH | |
| retardance | |
| rosyn | |
| reluisoient | |
| reesarch | |
| recognosces | |
| rhizophagous | |
| roledistance | |
| regularisee |
| def save_hashes(out_file, data) | |
| CSV.open(out_file, "wb") do |csv| | |
| keys = data.first.keys | |
| csv << keys | |
| data.each do |hash| | |
| csv << hash.values_at(*keys) | |
| end | |
| end | |
| end |
| Denominator | False Positive Rate |
Images | People | Chances (Images*People) |
Prob of at least one FP 1-(1-p)^n |
|---|---|---|---|---|---|
| 10,000,000,000 | 1E-10 | 50,000 | 200,000 | 1,000,000,000 | 63.2% |