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одиннадцатая буква английского алфавита; - прописная, - строчная
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1. if I know that there are at least
k
groups there--
2. of the numerator is n to the
k
– 1 power (it's the only power in the numerator). In
3. And we say that the length is actually equal to
k
.
4. and I'll use the letter
K
rather than A
5. I would create
K
, I would take T equal
K
,
6. Jade and Althea kissing on a tree.
K
-I-S-S-I-N-G!
7. allocations if you have
K
copies of a good then you have many more feasible
8. And notice I'm using the letter A rather than
K
or one
9. auction you actually have
K
different winners one for each slot and you expect
10.
K
inverse such that
K
times
K
inverse is the identity matrix.
11. as n approaches infinity of n to the
k
– 1 over n^
k
+ 7. Now, n is that positive integer—the
12.
K
as invertible because the diagonal-- no,
13. And to create
K
, this is an 18.085 command.
14. the numerator and denominator by 1 over n to the
k
power and gettin' a limit a n approaches
15. For
k
equals 1, we have just a single edge.
16. the denominator, we have n to the
k
power, and we just discussed that reduction right
17. The matrix A which was our
K
, this was really
K
,
18. This constant
k
actually is called the heat conductivity.
19. If
k
equals 0, then that's pretty obvious.
20. time, the probability of getting up to some point
k
is
21. But I finally the vibes usually got a 1.5
k
2
k
3
k
22. is just the vectors that arise if you have
k
slots of assigning at most
K
23. remember to T-H-I-N-
K
. Remember to think.
24. BV: Oh, again "
K
" show me.
25. minus p to the
k
-th power of p is less than or equal to 1/2.
26. know that this
K
is invertible?
27. Okay, so that's the quickest way to create
K
.
28. Because I have only a
k
-dimensional space.
29. So if
k
is at least three-- so the walk
30. is something called "
k
nearest neighbor"
31. bidders to these
k
slots in fact at most one of the bidders to each slot and
32. BV: (corrects her "
k
") good that "
k
", fine "
k
", go on
33. So I always think, T-H-I-N-
K
, T-H-I-N-
K
, remember that.
34. Notice, the
K
is silent.
35. KT: (FS) T-H-A-N-
K
-Y-O-U
36. j hat,
k
hat, and then the components of A,
37. I think if I just did sparse(
K
) that
38. they're going to be 1 of the alphas okay alpha 1 through alpha
K
. So those are
39.
K
equals something times something times something,
40. So this
K
has an inverse.
41. and will repeat, the
K
just has the numbers -1, 2, -1.
42. like KS for
K
sparse.
43. I've got
K
back again.
44. infinity of n to the
k
– 1 over n^
k
over—now, distributing the 1 over n^
k
in the denominator—we have
45. a2, b1, b2, times
k
hat. And we also saw a more
46. It has exactly
k
edges.
47. it means that the consonant changes, like from "make", "
k
" to "d", "d" to "t", sometimes
48. BV/KT: (FS) T- H-A-N-
K
-S
49. have in the numerator, so this is gonna reduce down to 1 over n over 1 + 7 over n^
k
power.
50. So maybe next to
K
-- so I'm not going to put periodic there.
51. For shortest paths, we defined this delta sub
k
of sv.
52. "
K
" about this.
53. you get alpha sub
K
stuff once you're the
K
minus one times better you get
54. BV:T-H-A-N-
K
-S.....think...oh! Thank you
55. KT:
K
56. So let me take
K
transpose.
57. where n goes from 1 to infinity, of n to the
k
– 1 power over n^
k
+ 7, where
k
is greater
58. Hold on
k
got him. Oh, man. I should really be using a sniper. This is awesome. Okay hold on
59. you get no stuff your x value 0 as soon as you become the
K
highest bidder
60. BV & KT: (both fingerspell)
K
-A-T-E-L-Y-N
61. I want to ask you to change
K
. To make it not invertible.
62. BV: ok hey,
K
-A KT:K-A BV: see "A" yes BV/KT: fingerspell
K
-A-T-E-L-Y-N
63. cross some threshold at some
k
greater than 0?
64. So if we want to get our good matrix
K
,
65. alpha sub
K
minus one bigger amount of stuff and so forth so there's not going
66. results. The degree of freedom for this test is
k
-1 where
k
is the number of cells. So
67. It's that
K
or it's this T or it's
68. slot
K
minus-1 and maybe there's only three slots and it looks like this okay
69. Worth knowing because this matrix
K
is so important.
70. 1 because n^
k
divided by n^
k
, which, of course is 1, + 7 over n^
k
. (Sorry, I can't seem to
71. In other words, it would treat
K
like a dense matrix
72. So
K
is invertible.
73. So what's a "cynic"? Or what's this "kynikos", kynikos, kynikos. K9,
k
-ni-, kyninikini. Well,
74. BV: hey, hey how you sign (fingerspells)T-H-A-N-
K
-S, (FS) T-H-A-N-
K
-S
75. Facebook at a time when I was by the tide was 16
k
which was for like a billion views a month
76. BV/KT: (FS) T-H-A-N-
K
Y-O-U
77. you know I was grinding hard to make 50
k
that month and
78. KT:
K
-E-T-E-L-Y-N
79. KT: how sign T-H-A-N-
K
Y-O-U
80. called
k
nearest neighbors.
81. say that
K
is the same as
K
transpose.
82. -Bailey, lean back a little,
K
?
83. because the
K
just has those that I introduced last time
84. So let's consider the case where
k
is at least two.
85. + 1, or just n^
k
, over n^
k
+ 7. And, like before, or even like here—and I don't wanna
86. Girl: (fingerspells)
K
-A-T-E-L-Y-N
87. This was the original
K
. So I've learned that
K
transpose is
K
.
88. do we have in the numerator? We have
k
– 1, and in the denominator we have
k
, so we have
89. 1 over
k
, 1 over
k
, because well that's
90.
K
, MATLAB is all set to create Toeplitz matrices.
91. v and we had to do it for every value of
k
between 0
92. Wait, why are some of them called level
K
, 11, P, 9, 14?
93. KT:
K
-A-T-E-L-Y-N
94. A number of non-zeros of
K
would be --
95. okay so it's just the 0/1 n vectors with the most 1. If you are selling
k
96. to p
k
minus 1, and then 1 minus the sum,
97. say find the
k
, say the five closest labeled examples.
98. The United States government even ordered Rotten to remove the F**
k
of the Moth section
99. sum over the excises is at most
k
. okay so sponsered search i'm not going to be
100. want to tell you about that are also close cousins of
K
and C.
101. You have to do the for loop over
k
on the outside,
102. BV: Oh that, (fingerspells)
K
-A-T-E-L-Y-N. OK.
103. a nasal consonant, ng, ng-
k
. Then, to make the
K
, you just release the tongue down, monk-,
104. Level
K
105. the exponents. Well, now we have the limit as n approaches infinity of n to the
k
– 1
106. I can create
K
by telling the system the first row.
107. KT: (FS) T-H-A-N-
K
-S
108. So let me say
K
is invertible.
109. over
k
, 1 over
k
, it's the continuous notion
110. KT: how sign T-H-A-N-
K
-S?
111. They wrote primarily for the
K
through 12 audience,
112. jump in one shot from zero to one okay so if you're even worse than the
K
113. they have A through
K
outcomes.
114. to v they uses at most
k
edges.
115. -
k
-. The soft palate will close for that. Then we go into the EE as in SHE vowel. Monkey.
116. the next sound is the
K
, and they’re made in the same spot. So, to make the NG sound,
117. our expenses got to like near 40 50
k
a month on production on
118. BV: ok, I looked away
K
-A-T-E-L-Y-N
119.
K
inverse will also symmetric without having yet said why.
120. So I'm going to say that
K
and T are -- here it comes,
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