Glance at linear algebra

1. https://www.forbes.com/sites/startswithabang/2016/11/12/ask-ethan-what-if-gravity-isnt-really-fundamental/

2. 2

3. 3

4. https://www.youtube.com/watch?v=ggWYkes-n6E

5. Wassily W. Leontief
https://macro.media.mit.edu/papers/TheStructureOfTheUSEconomy.pdf
5

7. 7

8. 8

9. 9

10. 10

11. 11

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12

13. https://www.youtube.com/watch?v=MlJN9pEfPfE

14. 14 http://matrix.skku.ac.kr/2015-Album/BigBook-LinearAlgebra-2015.pdf

15. 15 http://merganser.math.gvsu.edu/david/linear.algebra/ula/ula/sec-vectors-lin-combs.html

16. 16 http://merganser.math.gvsu.edu/david/linear.algebra/ula/ula/sec-vectors-lin-combs.html

17. 17 http://merganser.math.gvsu.edu/david/linear.algebra/ula/ula/sec-vectors-lin-combs.html

18. 18 http://immersivemath.com/ila/ch02_vectors/ch02.html

19. 19 https://www.hollandprinthouse.com/copy-of-print-guidlines

20. 20 https://wacomkoreablog.com/624

21. 21 https://www.selfmadedesigner.com/what-are-vector-graphics/

22. 22 https://wacomkoreablog.com/624

23. 23 https://www.selfmadedesigner.com/what-are-vector-graphics/

24. 24

25. 25 https://s.pstatic.net/static/www/img/uit/2019/sp_search.svg

26. 26 https://s.pstatic.net/static/www/img/uit/2019/sp_search.svg

27. 27 https://s.pstatic.net/static/www/img/uit/2019/sp_search.svg

28. 28 https://www.printprint.ca/blog/vector-vs-raster

29. 29 https://parkdauer.tistory.com/23

30. 30

31. 31

32. 32
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33. 33
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34. 34 https://www.youtube.com/watch?v=kYB8IZa5AuE

35. 35 https://www.youtube.com/watch?v=kYB8IZa5AuE

36. 36 https://www.youtube.com/watch?v=kYB8IZa5AuE

37. 37 https://www.youtube.com/watch?v=kYB8IZa5AuE

38. 38 https://www.youtube.com/watch?v=kYB8IZa5AuE

39. 39 https://www.youtube.com/watch?v=kYB8IZa5AuE

40. 40 https://www.youtube.com/watch?v=kYB8IZa5AuE

41. 41 https://www.youtube.com/watch?v=kYB8IZa5AuE

42. 42 https://www.youtube.com/watch?v=kYB8IZa5AuE

43. 43 https://www.youtube.com/watch?v=kYB8IZa5AuEhttps://www.youtube.com/watch?v=kYB8IZa5AuE

44. 44 https://www.youtube.com/watch?v=kYB8IZa5AuEhttps://www.youtube.com/watch?v=kYB8IZa5AuE

45. 45 https://www.youtube.com/watch?v=kYB8IZa5AuEhttps://www.youtube.com/watch?v=kYB8IZa5AuE

46. 46 https://www.youtube.com/watch?v=kYB8IZa5AuEhttps://www.youtube.com/watch?v=kYB8IZa5AuE

47. 47 https://www.youtube.com/watch?v=kYB8IZa5AuEhttps://www.youtube.com/watch?v=kYB8IZa5AuE

48. 48 https://www.youtube.com/watch?v=kYB8IZa5AuE

49. 49 https://www.youtube.com/watch?v=kYB8IZa5AuE

50. 50 https://www.youtube.com/watch?v=kYB8IZa5AuE

51. 51 https://www.youtube.com/watch?v=kYB8IZa5AuE

52. 52 https://www.youtube.com/watch?v=kYB8IZa5AuE

53. 53 https://www.youtube.com/watch?v=kYB8IZa5AuE

54. 54 https://www.youtube.com/watch?v=kYB8IZa5AuE

55. 55 https://www.youtube.com/watch?v=kYB8IZa5AuE

56. 56 https://www.youtube.com/watch?v=kYB8IZa5AuE

57. 57 https://www.youtube.com/watch?v=kYB8IZa5AuE

58. 58 https://www.youtube.com/watch?v=kYB8IZa5AuE

59. 59 https://www.youtube.com/watch?v=kYB8IZa5AuE

60. 60 https://www.youtube.com/watch?v=kYB8IZa5AuE

61. 61 https://www.youtube.com/watch?v=kYB8IZa5AuE

62. 62 https://www.youtube.com/watch?v=kYB8IZa5AuE

63. 63 https://www.youtube.com/watch?v=kYB8IZa5AuE

64. 64 https://www.youtube.com/watch?v=kYB8IZa5AuE

65. 65
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66. 66 https://www.youtube.com/watch?v=kYB8IZa5AuE

67. 67 https://www.youtube.com/watch?v=kYB8IZa5AuE

68. 68 https://www.youtube.com/watch?v=kYB8IZa5AuE

69. 69 https://www.youtube.com/watch?v=kYB8IZa5AuE

70. 70 https://www.youtube.com/watch?v=kYB8IZa5AuE

71. 71 https://www.youtube.com/watch?v=kYB8IZa5AuE

72. 72 https://www.youtube.com/watch?v=kYB8IZa5AuE

73. 73 https://www.youtube.com/watch?v=kYB8IZa5AuE

74. 74 https://www.youtube.com/watch?v=kYB8IZa5AuE

75. 75 https://www.youtube.com/watch?v=kYB8IZa5AuE

76. 76 https://www.youtube.com/watch?v=kYB8IZa5AuE

77. 77 https://www.youtube.com/watch?v=kYB8IZa5AuE

78. 78 https://www.youtube.com/watch?v=kYB8IZa5AuE

79. 79 https://www.youtube.com/watch?v=kYB8IZa5AuE

80. 80 https://www.youtube.com/watch?v=kYB8IZa5AuE

81. 81 https://www.youtube.com/watch?v=kYB8IZa5AuE

82. 82 https://www.youtube.com/watch?v=kYB8IZa5AuE

83. 83 https://www.youtube.com/watch?v=kYB8IZa5AuE

84. 84 https://www.youtube.com/watch?v=kYB8IZa5AuE

85. 85 https://www.youtube.com/watch?v=kYB8IZa5AuE

86. 86 https://www.youtube.com/watch?v=kYB8IZa5AuE

87. 87 https://www.youtube.com/watch?v=kYB8IZa5AuE

88. 88 https://www.youtube.com/watch?v=kYB8IZa5AuE

89. 89 https://www.youtube.com/watch?v=kYB8IZa5AuE

90. 90 https://www.youtube.com/watch?v=kYB8IZa5AuE

91. 91 https://www.youtube.com/watch?v=kYB8IZa5AuE

92. 92 https://www.youtube.com/watch?v=kYB8IZa5AuE

93. 93 https://www.youtube.com/watch?v=kYB8IZa5AuE

94. 94 https://www.youtube.com/watch?v=kYB8IZa5AuE

95. 95 https://www.youtube.com/watch?v=kYB8IZa5AuE

96. 96
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97. 97
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98. 98
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99. 99
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100. 100 https://www.youtube.com/watch?v=kYB8IZa5AuE

101. 101 https://www.youtube.com/watch?v=kYB8IZa5AuE

102. 102 https://www.youtube.com/watch?v=kYB8IZa5AuE

103. 103 http://immersivemath.com/ila/ch06_matrices/ch06.html

104. 104 http://immersivemath.com/ila/ch06_matrices/ch06.html

105. 105 http://immersivemath.com/ila/ch06_matrices/ch06.html

106. 106 http://immersivemath.com/ila/ch06_matrices/ch06.html

107. 107 http://immersivemath.com/ila/ch06_matrices/ch06.html

108. 108 http://immersivemath.com/ila/ch06_matrices/ch06.html

109. 109 https://www.youtube.com/watch?v=kYB8IZa5AuE

110. 110 https://www.youtube.com/watch?v=kYB8IZa5AuE

111. 111 https://www.youtube.com/watch?v=kYB8IZa5AuE

112. 112 https://www.youtube.com/watch?v=kYB8IZa5AuE

113. 113 https://www.youtube.com/watch?v=kYB8IZa5AuE

114. 114 https://www.youtube.com/watch?v=kYB8IZa5AuE

115. 115 https://www.youtube.com/watch?v=kYB8IZa5AuE

116. 116 https://www.youtube.com/watch?v=kYB8IZa5AuE

117. 117 https://www.youtube.com/watch?v=kYB8IZa5AuE

118. 118 https://www.youtube.com/watch?v=kYB8IZa5AuE

119. 119

120. 120

121. 121

122. Row Column
122

123. https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/linear_algebra.html
123

124. https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/linear_algebra.html
124

125. https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/linear_algebra.html
125

126. https://machinelearningmastery.com/introduction-matrices-machine-learning/126

127. https://machinelearningmastery.com/introduction-matrices-machine-learning/127

128. https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/linear_algebra.html
128

129. https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/linear_algebra.html
129

130. https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/linear_algebra.html
import numpy as np
W_b = np.array([
[0.2, -0.5, 0.1, 2, 1.1],
[1.5, 1.3, 2.1, 0, 3.2],
[0, 0.25, 0.2, -0.3, -1.2]
])
x = np.array([56, 231, 24, 2, 1])
scores = W_b.dot(x)
print(scores)
[-96.8 437.9 60.75]
130

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132. 2
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1 0 0
0 1 0
0 0 1
3
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2
4
r
g
b
3
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133. 2
4
1 0 0
0 0 0
0 0 0
3
5
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2
4
r
g
b
3
5
<latexit sha1_base64="ABkWGVQekRNVCEfoiTMXuHqDm/s=">AAACGHicbVBNS8NAEN34bf2qevQSLIKnmqigx6IXjwr2A7qhbLaTdHGzCbsTsYT+DC/+FS8eFPHam//G7Yeg1gcDj/dmmJkXZlIY9LxPZ25+YXFpeWW1tLa+sblV3t5pmDTXHOo8laluhcyAFArqKFBCK9PAklBCM7y7HPnNe9BGpOoW+xkECYuViARnaKVO+YhKiLBNQ4iFKhKGWjwMNKWlmNKQgup+a1SLuIdBp1zxqt4Y7izxp6RCprjulIe0m/I8AYVcMmPavpdhUDCNgksYlGhuIGP8jsXQtlSxBExQjB8buAdW6bpRqm0pdMfqz4mCJcb0k9B22jN75q83Ev/z2jlG50EhVJYjKD5ZFOXSxdQdpeR2hQaOsm8J41rYW13eY5pxtFmWbAj+35dnSeO46p9Uj29OK7WLaRwrZI/sk0PikzNSI1fkmtQJJ4/kmbySN+fJeXHenY9J65wzndklv+AMvwDPk6GB</latexit>

134. 2
4
1 0 0
0 1 0
0 0 0
3
5
<latexit sha1_base64="n1EyMFzk/BFsOsGOVtVzFd1+Btg=">AAACJHicbVDLSgMxFM34tr6qLt0MFourklFBwY3oxmUF+4DOUDLpnTaYyQzJHbEM/Rg3/oobFz5w4cZvMX0Iaj0QcnLOveTeE6ZSGKT0w5mZnZtfWFxaLqysrq1vFDe36ibJNIcaT2SimyEzIIWCGgqU0Ew1sDiU0AhvLoZ+4xa0EYm6xn4KQcy6SkSCM7RSu3jqS4iw5YfQFSqPGWpxN/DKtEx9v0DL3vCmoyeozrfva9HtYdAulmiFjuBOE29CSmSCarv46ncSnsWgkEtmTMujKQY50yi4hEHBzwykjN+wLrQsVSwGE+SjJQfunlU6bpRoexS6I/VnR85iY/pxaCvtmD3z1xuK/3mtDKOTIBcqzRAUH38UZdLFxB0m5naEBo6ybwnjWthZXd5jmnG0uRZsCN7fladJ/aDiHVYOro5KZ+eTOJbIDtkl+8Qjx+SMXJIqqRFO7skjeSYvzoPz5Lw57+PSGWfSs01+wfn8AjkMo1Q=</latexit>
2
4
r
g
b
3
5
<latexit sha1_base64="ABkWGVQekRNVCEfoiTMXuHqDm/s=">AAACGHicbVBNS8NAEN34bf2qevQSLIKnmqigx6IXjwr2A7qhbLaTdHGzCbsTsYT+DC/+FS8eFPHam//G7Yeg1gcDj/dmmJkXZlIY9LxPZ25+YXFpeWW1tLa+sblV3t5pmDTXHOo8laluhcyAFArqKFBCK9PAklBCM7y7HPnNe9BGpOoW+xkECYuViARnaKVO+YhKiLBNQ4iFKhKGWjwMNKWlmNKQgup+a1SLuIdBp1zxqt4Y7izxp6RCprjulIe0m/I8AYVcMmPavpdhUDCNgksYlGhuIGP8jsXQtlSxBExQjB8buAdW6bpRqm0pdMfqz4mCJcb0k9B22jN75q83Ev/z2jlG50EhVJYjKD5ZFOXSxdQdpeR2hQaOsm8J41rYW13eY5pxtFmWbAj+35dnSeO46p9Uj29OK7WLaRwrZI/sk0PikzNSI1fkmtQJJ4/kmbySN+fJeXHenY9J65wzndklv+AMvwDPk6GB</latexit>

135. 2
4
1 1 1
0 0 0
0 0 0
3
5
<latexit sha1_base64="6BEDN1BWe8mNLdF7A3yDnp7vigA=">AAACJHicbVDJSgNBEO2Je9yiHr0MBoOnMBMFBS+iF48RTBTSQ+jp1CRNenqG7hoxDPkYL/6KFw8uePDit9hZBLcqmnq8V0VXvTCVwqDnvTuFmdm5+YXFpeLyyuraemljs2mSTHNo8EQm+jpkBqRQ0ECBEq5TDSwOJVyF/bORfnUD2ohEXeIghSBmXSUiwRlaql06phIibNEQukLlMUMtbod+xSalRa9ik9JJAdX50qkW3R4G7VLZq3rjcP8CfwrKZBr1dumFdhKexaCQS2ZMy/dSDHKmUXAJwyLNDKSM91kXWhYqFoMJ8vGRQ3fXMh03SrR9Ct0x+30iZ7Exgzi0nXbNnvmtjcj/tFaG0VGQC5VmCIpPPooy6WLijhxzO0IDRzmwgHEt7K4u7zHNOFpfi9YE//fJf0GzVvX3q7WLg/LJ6dSORbJNdsge8ckhOSHnpE4ahJM78kCeyLNz7zw6r87bpLXgTGe2yI9wPj4BOrqjVQ==</latexit>
2
4
r
g
b
3
5
<latexit sha1_base64="ABkWGVQekRNVCEfoiTMXuHqDm/s=">AAACGHicbVBNS8NAEN34bf2qevQSLIKnmqigx6IXjwr2A7qhbLaTdHGzCbsTsYT+DC/+FS8eFPHam//G7Yeg1gcDj/dmmJkXZlIY9LxPZ25+YXFpeWW1tLa+sblV3t5pmDTXHOo8laluhcyAFArqKFBCK9PAklBCM7y7HPnNe9BGpOoW+xkECYuViARnaKVO+YhKiLBNQ4iFKhKGWjwMNKWlmNKQgup+a1SLuIdBp1zxqt4Y7izxp6RCprjulIe0m/I8AYVcMmPavpdhUDCNgksYlGhuIGP8jsXQtlSxBExQjB8buAdW6bpRqm0pdMfqz4mCJcb0k9B22jN75q83Ev/z2jlG50EhVJYjKD5ZFOXSxdQdpeR2hQaOsm8J41rYW13eY5pxtFmWbAj+35dnSeO46p9Uj29OK7WLaRwrZI/sk0PikzNSI1fkmtQJJ4/kmbySN+fJeXHenY9J65wzndklv+AMvwDPk6GB</latexit>

136. 2
4
0.6 0.3 0.1
0.6 0.3 0.1
0.6 0.3 0.1
3
5
<latexit sha1_base64="6pHwxCmCN2URgFt+Sl8NjLHAJko=">AAACNnicbVBNS8NAEN3Ur1q/qh69BIviKSStqMeiFy+Cgq2FJpTNdtIubjZhdyKW0F/lxd/hzYsHRbz6E9x+CFodGHjzZh4z88JUcI2u+2wV5uYXFpeKy6WV1bX1jfLmVlMnmWLQYIlIVCukGgSX0ECOAlqpAhqHAm7C27NR/+YOlOaJvMZBCkFMe5JHnFE0VKd84QuIsO2H0OMyjykqfj90naN916mZ9Hy/9Kv6WYDsfit8xXt9DDrliuu447D/Am8KKmQal53yk99NWBaDRCao1m3PTTHIqULOBAxLfqYhpeyW9qBtoKQx6CAfvz209wzTtaNEmZRoj9mfipzGWg/i0EyaM/t6tjci/+u1M4xOgpzLNEOQbLIoyoSNiT3y0O5yBQzFwADKFDe32qxPFWVonC4ZE7zZl/+CZtXxak716rBSP53aUSQ7ZJccEI8ckzo5J5ekQRh5IM/klbxZj9aL9W59TEYL1lSzTX6F9fkFQ6Oncg==</latexit>
2
4
r
g
b
3
5
<latexit sha1_base64="ABkWGVQekRNVCEfoiTMXuHqDm/s=">AAACGHicbVBNS8NAEN34bf2qevQSLIKnmqigx6IXjwr2A7qhbLaTdHGzCbsTsYT+DC/+FS8eFPHam//G7Yeg1gcDj/dmmJkXZlIY9LxPZ25+YXFpeWW1tLa+sblV3t5pmDTXHOo8laluhcyAFArqKFBCK9PAklBCM7y7HPnNe9BGpOoW+xkECYuViARnaKVO+YhKiLBNQ4iFKhKGWjwMNKWlmNKQgup+a1SLuIdBp1zxqt4Y7izxp6RCprjulIe0m/I8AYVcMmPavpdhUDCNgksYlGhuIGP8jsXQtlSxBExQjB8buAdW6bpRqm0pdMfqz4mCJcb0k9B22jN75q83Ev/z2jlG50EhVJYjKD5ZFOXSxdQdpeR2hQaOsm8J41rYW13eY5pxtFmWbAj+35dnSeO46p9Uj29OK7WLaRwrZI/sk0PikzNSI1fkmtQJJ4/kmbySN+fJeXHenY9J65wzndklv+AMvwDPk6GB</latexit>

137. http://immersivemath.com/ila/ch06_matrices/ch06.html
137

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225. 225
http://www.pyrunner.com/weblog/2016/05/26/compressed-sensing-python/
https://en.wikipedia.org/wiki/Compressed_sensing

226. 226
http://m.docdocdoc.co.kr/news/articleView.html?idxno=1065469
https://gregongie.github.io/files/talks/ongieSIAMimgsci2016.pdf

227. 227 https://www.slideshare.net/koorukuroo/ss-178525524

228. 228 https://www.slideshare.net/koorukuroo/ss-178525524

229. 229 https://www.slideshare.net/koorukuroo/ss-178525524

230. 230 https://www.slideshare.net/koorukuroo/ss-178525524
[(0.8520864248275757, ' '),
(0.761702299118042, ' '),
(0.7503935694694519, ' '),
(0.7462027072906494, ' '),
(0.7302743792533875, ' '),
(0.7298693656921387, ' '),
(0.7157598733901978, ' '),
(0.7140597105026245, ' '),
(0.7094160318374634, ' '),
(0.6926915049552917, ' ')]

231. 231 https://www.slideshare.net/koorukuroo/ss-178525524
[(0.8487251996994019, ' '),
(0.8287239074707031, ' '),
(0.8190956115722656, ' '),
(0.8059816956520081, ' '),
(0.8007813692092896, ' '),
(0.7956226468086243, ' '),
(0.7848511934280396, ' '),
(0.7843033671379089, ' '),
(0.7841789722442627, ' '),
(0.7816827297210693, ' ')]

232. 232 https://www.slideshare.net/koorukuroo/ss-178525524
[(' ', 0.718355119228363),
(' ', 0.7033782005310059),
(' ', 0.6210535764694214),
(' ', 0.618556022644043),
(' ', 0.6083796620368958),
(' ', 0.6076724529266357),
(' ', 0.5991458892822266),
(' ', 0.5892307758331299),
(' ', 0.5869563817977905),
(' ', 0.5819442272186279)]

233. 233 https://www.slideshare.net/koorukuroo/ss-178525524
[(' ', 0.7236467599868774),
(' ', 0.7141597270965576),
(' ', 0.7086147665977478),
(' ', 0.6981553435325623),
(' ', 0.6899087429046631),
(' ', 0.6880921125411987),
(' ', 0.6837730407714844),
(' ', 0.6807584166526794),
(' ', 0.6780474185943604),
(' ', 0.6770625114440918)]

234. 234 https://www.slideshare.net/koorukuroo/ss-178525524
[(' ', 0.7925821542739868),
(' ', 0.777511477470398),
(' ', 0.7687333822250366),
(' ', 0.768500804901123),
(' ', 0.7665073871612549),
(' ', 0.763087809085846),
(' ', 0.7591485381126404),
(' ', 0.7579624056816101),
(' ', 0.7577899098396301),
(' ', 0.7568272352218628)]