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1. the
h
would have been there.
2. "My lovely
h
", no match.
3. equal to 1 given that
H
is actually 0.
4. So for example, took_(
h
)im, took_(
h
)im.
5. asking you to estimate partial
h
over partial y.
6. So you could say alright, if
h
is small I can live with that.
7. "I took_(
h
)im for_a ride", "You took_(
h
)im for_a ride", etc.
8. And it's Sara without an
h
.
9. I think it comes out wrong by 1/2
h
there.
10. the
H
. Picking up the dead, no mass up on my face.
11. It's P0 times the probability I make an error given that
H
12. looks like the expectation of
h
of x for all
h
.
13. Dr. Alvin
H
. Howell was the brains behind the balloon program?
14. decreasing the speed will only fly at around 100km/
h
, we can
15. diagonal moves makes this a lot easier-- to invert g and
h
16. So that's examples of
H
-deletion.
17. What I want to point out also is that this
h
hat, the
18. They have the g and
h
in order.
19. A function g of x is tilde, a function
h
of x
20. b, c, d, e, f,
h
, g-- which are out of order--
21. to the playground where I grew up and he'd hire some
h
kids to go shag balls for him
22. The probability of error conditional on
H
equals 0 is
23. Oh, that's better. All the evil Sarah's spell it with an
h
. Thanks again.
24. Collective calm /
h
3 if you go to their website right now you get this classy beautiful watch leather wristband
25. then what he must be left with is
h
-plus, and since hydrogen
26. A, b, c, f, e, d, g,
h
-- g,
h
is good.
27. Hey Sara, without an
h
.
28. And one more aspect of Cockney is the letter "
h
"...
29. maximum over l of probability that
H
equals l given Y.
30. How was this delta
H
performing historically?
31. And we need to know that because the word "Tiamat" is associated with the word "Tehom," T, E,
H
, O, M.
32. select
H
equals 0.
33. We've got a, b, c, f, d, g, e,
h
.
34. “Did_(
h
)e call you?”
35. As David
H
. Koch Institute professor at MIT,
36. but they do not come into play until you can say that you have evidence for
H
sub a...
37. (u_1-u_0)/
h
-- that's the approximate slope --
38. And of course, one over
h
squared
39. then given
H
equals 0, it's a random walk.
40. I heard", so the vowel sound changes: "ear", "er": "hear", "heard", it's spelt "
h
-e-a-r"
41.
H
equals 0.
42. is-- What's one over
h
squared, just to not forget?
43. And in fact, the
h
terms, the leading error,
44. “I took_(
h
)er some food.”
45. BV/KT: (FS) T-
H
-A-N-K Y-O-U
46. So now that u(x+
h
) - u(x-
h
) is zero,
47. We have the
H
-deletion, which is where the
H
at the beginning of words is removed and
48. BV: hey, hey how you sign (fingerspells)T-
H
-A-N-K-S, (FS) T-
H
-A-N-K-S
49. If you can read this for any
h
, then that's
50. But in this model,
H
is either 0 or 1 in the result of this
51. I subtract u(x) - U(x-
h
) and I get two -u(x)'s This is what I
52. vector y given
H
equals 0, I'm finding the probability of n
53. you should be able to go 60 km/
h
however
54. So this is the probability that
H
is equal to 0 given Y.
55. This is just
H
of q right here, this term.
56. the ODE. And, y1 of x, notice I don't use a separate letter. I don't use g or
h
or something
57. Instead of saying "It has happened before", you'll hear me say "it_(
h
)as" or just "it's".
58. a, b, c, d, g,
h
, e, f goes to-- I'm
59. means that the limit as x goes to infinity of g over
h
is 1.
60. about-- because this is always-- it's either
H
equals
61. out in your notes what the actual value for
h
c is, but
62. positively charged particles here were
H
plus.
63. u(x+
h
) - u(x), just how much did that step go.
64. Michael: Where the
h
?ell am I? My game isn't loading.
65. A function g of x is tilde, a function
h
of x
66. There is no sequence of legal moves to invert g and
h
.
67. So, the Cockney speaker tends to miss off the "
h
". Okay, so okay that's just a few examples
68. Problem 2B is asking you to find the point at which
h
equals
69. so I guess that we really have an
h
^3 / 3 u'''.
70. just with that
h
hat.
71. It's the probability that Y is in A. That means that
H
hat is
72. about
H
. We have to choose
H
equals 0 or
H
equals 1.
73. arts medical office administration run office naveen
h
RF associate arts ashley
74. 1/2
h
, first order.
75. maybe an
h
and L try L know
76. then so once we get here, we're going to finis,
h
and let's turn this project
77.
H
-Huh?
78. he put forth where we have
h
hat psi being equal to e psi.
79. OK? And so delta
h
over delta y is
80. g,
h
changes order.
81. and something that looks like integral of
h
of x p of x dx.
82. itself is neutral, the
h
-plus and the electron had to add up
83.
H
/
h
, and what's another really common letter t. Sorry but no?
84. probability given
H
equals 1 versus error probability given
85. Bill: (
H
-Hey, Georgie.)
86. So instead of "We have a lot to do today", I've said "we_(
h
)ave a lot to do today.
87. have a, b, c, d, g, e, f,
h
.
88. I want to do T-
H
-I-N--
89. "It_(
h
)as happened before".
90. - S-
H
-E-O...I'm not sure on that. No.
91. what is
H
of q?
92. g used to be after
h
and e.
93. too fast so i went 40 km/
h
and I engaged
94. And I've put g and
h
out of order.
95. is of order
h
.
96. I've removed the
H
on him and it just sounds like took_(
h
)im took_(
h
)im.
97. For instance, took_(
h
)er, took_(
h
)er.
98. We've got a, b, c, f, d, g, e,
h
.
99. key targets is exactly to support about 500 km/
h
. Tell me about the vehicle
100. in most cases, binary random variable,
H
, which is called
101. cohort sequential design with
h
and the time variable and you see here this is online sexual
102. Oh and divide by
h
squared.
103. But otherwise, probability that
H
equals l is the correct
104. Now I want partial
h
over partial x to be zero.
105. I'm back to +
h
^2 u''(x) and so on.
106. VEGETA:
H
-how... How is he this strong?
107. Now, let's find partial
h
over partial y less than zero.
108.
h
is 1/6.
109. And
h
with the carrot or the hat here, well, that carrot or
110. This one is also order
h
.
111. And then minus this term, which is
H
of p.
112. Here we have
H
. Here we have our OH,
H
,
H
.
113. It's P0 times the probability I make an error given that
H
114. r ke
h
as in ray not just some cute production designer joke though the
115. This is the equation T times u divided by
h
squared
116. How do you figure u(x+
h
)?
117. Skarsgård:
H
-Hey, stop that! Stop that!
118. And I may come back and find out why that
h
squared term is.
119. Plus
h
^3 upon 6, that's 3*2*1, u triple-prime.
120. A, b, c, f, e, d, g,
h
-- g,
h
is good.
121. A, b, c, d, e, f,
h
g-- no, no, no, that's where you started,
122. One over
h
squared there,
h
is what?
123. KT: how sign T-
H
-A-N-K Y-O-U
124. That first-order approximation, that error of size
h
125. zero and partial
h
over partial y is less than zero.
126. - S-
H
-E-O-L? I'm not sure. I've never seen that word.
127. But in this model,
H
is either 0 or 1 in the result of this
128. 0 or
H
equal 1, right?
129. Dot-Com no, it's Vince arrow collective Calm. /
h
130. "Harry" would be pronounced "Arry", and "have" where you make the "
h
" sound "hu", "ave".
131. Yes, there'd be no reason to say you could say educate this and absolutely does that mean
H
cated? I believe it was a
132. error given
H
equals 1 is on the horizontal axis.
133. So some examples of
H
deletion.
134. divide this by 2h, that'll make it an
h
squared over six.
135. So as an example of a column move, a, b, c, d, f,
h
, e,
136. that
H
equals L given Y. We maximize the a posteriori
137. We can talk about the probability that
H
is equal to
138. So again, we know that energy is equal to
h
c divided by
139. This delta x squared is the
h
squared.
140. and I better remember to divide by
h
squared,
141. we will have
H
sub o set up as beta is equal to zero... The population parameter for slope.
142. So that's T divided by
h
squared.
143. Oh and divide by
h
squared.
144. on her back. Check out this video on Dropping the
H
Reductions.
145. He said, okay, this is going to be
H
plus.
146. hypothesis
H
equals 0.
147. So
H
hat is 0 does not mean that
H
itself is 0.
148. “We_(
h
)ave a lot to do today”.
149. And now, if we condition this on
H
equals 0, then this
150. distribution... or the proportions are equal if that is what you are looking at.
H
sub
151. Instead of saying "That's for him", I say "That's for_(
h
)im".
152. going to move b down this time-- a, c, d, b, g,
h
, e, f.
153. that momentum is equal to
h
divided by lambda.
154. of the motif is 2w minus
H
of motif,
155. this for
H
equals 0, divide by this for
H
equals 1, and then
156. It says the evening and the morning were the first day. Notice that word "the," t-
h
-e.
157. Now it's before
h
and e.
158. I've been so freaked out it feels like
H
ten years this week
159. So, if it's uniform, we said
H
of q is 2 bits per position.
160. So this thing divided by
h
squared
161. And given
H
equals 1, it's another random walk.
162. this is correct to order
h
squared.
163. it would be -
h
^3 / 6 u'''.
164. probability given that
H
equals 1 is the correct
165. So I always think, T-
H
-I-N-K, T-
H
-I-N-K, remember that.
166. And of course, in that experiment, that was
H
plus.
167. So g and
h
are in order.
168. - S what? - S-
H
-E-O-L: sheol.
169. should be equal to
h
over mass times volume.
170. So you have the g and
h
out of order.
171. mister william bradford huey and mister james
h
are cromwell our distinguished
172. with an error of order
h
^2.
173. So
H
of q, where q is a distribution or, in this case,
174. So g and
h
are in order.
175. But he knew that this plasma takes the
H
two molecule
176.
h
is correct, yeah.
177. quantity here is P of Y. So we have probability that
H
equals
178. So if I bring it up here, bring the
h
squared up here,
179. I..."That's a funny one, isn't it? "o-u-g-
h
-t"
180. by our UV lamp by saying e is equal to
h
c over wavelength.
181. we’ll probably drop the
H
. On his, on his, monkey on his back. Or, on her, on her, monkey
182. BV/KT: (FS) T-
H
-A-N-K-S
183. But in this case "it_(
h
)as".
184. which is going to multiply the
h
,
185. So as an example of a column move, a, b, c, d, f,
h
, e,
186. Here, we have an OH and an
H
. Here, we have an
H
and an OH.
187. the value of
h
doesn't change. Which points on the level curve
188. The number "three", t-
h
-r-e-e is often pronounced
189. remember to T-
H
-I-N-K. Remember to think.
190. “It_(
h
)as happened before”.
191. I say “Did_(
h
)e call you?”
192. Did he
H
-E-A-L, heal the blind man or P-L-A-Y,
193. "That's for_(
h
)im".
194. The sample values of
H
, you might as well
195. We have to detect whether or not
H
is 1.
196. And the answer is the error is of size
h
.
197. BV:T-
H
-A-N-K-S.....think...oh! Thank you
198. the probability that
H
is 1 equals y is
199. KT: (FS) T-
H
-A-N-K-Y-O-U
200. It's a random variable under the hypothesis
H
equals 1.
201.
H
equals 1.
202. 2200, partial
h
over partial x equals
203. So that means we would see "My lovely
h
", no match.
204. now the step is -
h
, but then when I square that step
205. And then also "We_(
h
)ave a lot to do today".
206. You divide by the delta x, the
h
,
207.
h
or delta x goes to zero in the end to get the derivative.
208. So the ratio, the probability that
H
equals 0 given y over
209. And this would be, since this step is -
h
now,
210. moved up--
h
, e.
211. And I may come back and find out why that
h
squared term is.
212. So minus u_(i+1) minus 2u_i, minus u_(i-1) over
h
squared
213. Ann Harrison is William
H
Wister Professor
214. KT: how sign T-
H
-A-N-K-S?
215. KT: (FS) T-
H
-A-N-K-S
216. Now, what about this u(x-
h
)?
217. we do set up
H
sub o assuming there is no association. That kind of language is going
218. the consonant or the sound that the word before the word with
H
ends with carries on over
219. given by half of
h
squared, you see the second order
220. KT: T-
H
-A
221. We don't know whether
H
equals 0 or
H
equals 1 is what the
222. Because this is the probability that
H
is actually
223. We always set up
H
sub o as no association, no difference, no effect from the treatment,
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