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