589689.xyz

udemy-probability-for-statistics-and-data-science

  • 收录时间:2021-07-31 04:02:49
  • 文件大小:3GB
  • 下载次数:1
  • 最近下载:2021-07-31 04:02:48
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 4. Distributions/29. Practical Example Distributions.mp4 157MB
  2. 3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4 145MB
  3. 2. Combinatorics/20. Practical Example Combinatorics.mp4 134MB
  4. 5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4 99MB
  5. 4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4 92MB
  6. 1. Introduction to Probability/2. What is the probability formula.mp4 86MB
  7. 4. Distributions/15. What is a Continuous Distribution.mp4 84MB
  8. 5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4 77MB
  9. 1. Introduction to Probability/4. How to compute expected values.mp4 76MB
  10. 4. Distributions/1. What is a probability distribution.mp4 73MB
  11. 4. Distributions/11. What is the Binomial Distribution.mp4 69MB
  12. 5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4 63MB
  13. 1. Introduction to Probability/6. What is a probability frequency distribution.mp4 62MB
  14. 1. Introduction to Probability/8. What is a complement.mp4 59MB
  15. 2. Combinatorics/11. What are combinations and how are they similar to variations.mp4 57MB
  16. 3. Bayesian Inference/7. What is the union of sets A and B.mp4 57MB
  17. 4. Distributions/13. What is the Poisson Distribution.mp4 56MB
  18. 1. Introduction to Probability/1. What does the course cover.mp4 53MB
  19. 3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4 50MB
  20. 4. Distributions/27. What is the Logistic Distribution.mp4 50MB
  21. 3. Bayesian Inference/18. How do we derive the Multiplication Rule formula.mp4 49MB
  22. 4. Distributions/19. Standardizing a Normal Distribution.mp4 48MB
  23. 3. Bayesian Inference/3. What are the different ways two events can interact with one another.mp4 47MB
  24. 3. Bayesian Inference/13. What is the difference between P(AB) and P(BA).mp4 46MB
  25. 3. Bayesian Inference/1. What is a set.mp4 46MB
  26. 4. Distributions/17. What is a Normal Distribution.mp4 44MB
  27. 2. Combinatorics/9. What if we couldn't use certain values more than once.mp4 43MB
  28. 2. Combinatorics/3. When do we use Permutations.mp4 41MB
  29. 2. Combinatorics/17. What is the chance of a single ticket winning the lottery.mp4 41MB
  30. 2. Combinatorics/13. What is symmetry in Combinations.mp4 40MB
  31. 4. Distributions/25. What is an Exponential Distribution.mp4 40MB
  32. 2. Combinatorics/19. A Summary of Combinatorics.mp4 38MB
  33. 2. Combinatorics/5. Solving Factorials.mp4 36MB
  34. 3. Bayesian Inference/15. Conditional Probability in Real-Life.mp4 35MB
  35. 3. Bayesian Inference/11. What does it mean to for two events to be dependent.mp4 35MB
  36. 4. Distributions/9. What is the Bernoulli Distribution.mp4 34MB
  37. 2. Combinatorics/7. Why can we use certain values more than once.mp4 34MB
  38. 2. Combinatorics/15. How do we combine combinations of events with separate sample spaces.mp4 33MB
  39. 3. Bayesian Inference/16. How do we apply the additive rule.mp4 27MB
  40. 3. Bayesian Inference/5. What is the intersection of sets A and B.mp4 27MB
  41. 4. Distributions/23. What is a Chi Squared Distribution.mp4 26MB
  42. 3. Bayesian Inference/9. Are all complements mutually exclusive.mp4 25MB
  43. 4. Distributions/7. What is the Discrete Uniform Distribution.mp4 24MB
  44. 4. Distributions/5. Discrete Distributions and their characteristics..mp4 23MB
  45. 4. Distributions/21. What is a Student's T Distribution.mp4 22MB
  46. 2. Combinatorics/1. Why are combinatorics useful.mp4 16MB
  47. 3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton_jp2.zip 13MB
  48. 4. Distributions/29.3 FIFA19 (post).csv 9MB
  49. 4. Distributions/29.4 FIFA19.csv 9MB
  50. 4. Distributions/1.1 Course Notes - Probability Distributions_jp2.zip 8MB
  51. 1. Introduction to Probability/2.1 Section 1 Course Notes_jp2.zip 4MB
  52. 4. Distributions/15.1 Solving Integrals_jp2.zip 3MB
  53. 3. Bayesian Inference/1.1 Section 3 Course Notes_jp2.zip 2MB
  54. 2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions_jp2.zip 2MB
  55. 2. Combinatorics/11.1 Combinations With Repetition_jp2.zip 2MB
  56. .____padding_file/2 2MB
  57. .____padding_file/227 2MB
  58. .____padding_file/230 2MB
  59. .____padding_file/233 2MB
  60. .____padding_file/236 2MB
  61. .____padding_file/90 2MB
  62. .____padding_file/99 2MB
  63. .____padding_file/108 2MB
  64. .____padding_file/111 2MB
  65. .____padding_file/114 2MB
  66. .____padding_file/117 2MB
  67. .____padding_file/134 2MB
  68. .____padding_file/137 2MB
  69. .____padding_file/140 2MB
  70. .____padding_file/32 2MB
  71. .____padding_file/35 2MB
  72. .____padding_file/38 2MB
  73. .____padding_file/43 2MB
  74. .____padding_file/46 2MB
  75. .____padding_file/47 2MB
  76. .____padding_file/50 2MB
  77. .____padding_file/73 2MB
  78. .____padding_file/76 2MB
  79. .____padding_file/79 2MB
  80. .____padding_file/151 2MB
  81. .____padding_file/154 2MB
  82. .____padding_file/163 2MB
  83. .____padding_file/172 2MB
  84. .____padding_file/181 2MB
  85. .____padding_file/184 2MB
  86. .____padding_file/185 2MB
  87. .____padding_file/188 2MB
  88. .____padding_file/191 2MB
  89. .____padding_file/194 2MB
  90. .____padding_file/197 2MB
  91. .____padding_file/208 2MB
  92. .____padding_file/211 2MB
  93. .____padding_file/214 2MB
  94. .____padding_file/10 2MB
  95. .____padding_file/104 2MB
  96. .____padding_file/107 2MB
  97. .____padding_file/64 2MB
  98. .____padding_file/70 2MB
  99. .____padding_file/61 2MB
  100. .____padding_file/125 2MB
  101. .____padding_file/162 2MB
  102. .____padding_file/13 2MB
  103. .____padding_file/19 2MB
  104. .____padding_file/239 2MB
  105. .____padding_file/83 2MB
  106. .____padding_file/171 2MB
  107. .____padding_file/16 2MB
  108. .____padding_file/226 2MB
  109. .____padding_file/89 2MB
  110. .____padding_file/131 2MB
  111. .____padding_file/180 2MB
  112. .____padding_file/210 2MB
  113. .____padding_file/75 2MB
  114. .____padding_file/67 2MB
  115. .____padding_file/81 2MB
  116. .____padding_file/213 2MB
  117. .____padding_file/42 2MB
  118. .____padding_file/190 2MB
  119. .____padding_file/159 2MB
  120. .____padding_file/187 2MB
  121. .____padding_file/98 2MB
  122. .____padding_file/136 2MB
  123. .____padding_file/31 2MB
  124. .____padding_file/34 2MB
  125. .____padding_file/139 2MB
  126. .____padding_file/40 2MB
  127. .____padding_file/116 2MB
  128. .____padding_file/110 2MB
  129. .____padding_file/216 2MB
  130. .____padding_file/133 2MB
  131. .____padding_file/193 2MB
  132. .____padding_file/86 2MB
  133. .____padding_file/177 2MB
  134. .____padding_file/113 2MB
  135. .____padding_file/101 2MB
  136. .____padding_file/150 2MB
  137. .____padding_file/72 2MB
  138. .____padding_file/142 2MB
  139. .____padding_file/122 2MB
  140. .____padding_file/45 2MB
  141. .____padding_file/174 2MB
  142. .____padding_file/37 2MB
  143. .____padding_file/48 2MB
  144. .____padding_file/9 2MB
  145. .____padding_file/196 2MB
  146. .____padding_file/168 2MB
  147. .____padding_file/25 2MB
  148. .____padding_file/223 2MB
  149. .____padding_file/183 2MB
  150. .____padding_file/78 2MB
  151. .____padding_file/92 2MB
  152. .____padding_file/218 2MB
  153. .____padding_file/28 2MB
  154. .____padding_file/95 2MB
  155. .____padding_file/232 2MB
  156. .____padding_file/156 2MB
  157. .____padding_file/23 2MB
  158. .____padding_file/11 2MB
  159. .____padding_file/229 2MB
  160. .____padding_file/235 2MB
  161. .____padding_file/49 2MB
  162. .____padding_file/62 2MB
  163. .____padding_file/144 2MB
  164. .____padding_file/238 2MB
  165. .____padding_file/60 2MB
  166. .____padding_file/153 2MB
  167. .____padding_file/21 2MB
  168. .____padding_file/165 2MB
  169. .____padding_file/147 2MB
  170. .____padding_file/220 2MB
  171. .____padding_file/103 2MB
  172. .____padding_file/207 2MB
  173. .____padding_file/205 2MB
  174. .____padding_file/58 2MB
  175. .____padding_file/200 2MB
  176. .____padding_file/7 2MB
  177. .____padding_file/4 2MB
  178. .____padding_file/105 2MB
  179. .____padding_file/119 2MB
  180. .____padding_file/128 2MB
  181. .____padding_file/204 2MB
  182. .____padding_file/52 2MB
  183. .____padding_file/199 2MB
  184. .____padding_file/1 2MB
  185. .____padding_file/201 2MB
  186. .____padding_file/17 2MB
  187. .____padding_file/68 2MB
  188. .____padding_file/59 2MB
  189. .____padding_file/15 2MB
  190. .____padding_file/65 2MB
  191. .____padding_file/66 2MB
  192. .____padding_file/0 2MB
  193. .____padding_file/158 2MB
  194. .____padding_file/123 2MB
  195. .____padding_file/160 2MB
  196. .____padding_file/121 2MB
  197. .____padding_file/85 2MB
  198. .____padding_file/87 2MB
  199. .____padding_file/224 2MB
  200. .____padding_file/176 2MB
  201. .____padding_file/222 2MB
  202. .____padding_file/96 2MB
  203. .____padding_file/102 2MB
  204. .____padding_file/167 2MB
  205. .____padding_file/94 2MB
  206. .____padding_file/55 2MB
  207. .____padding_file/29 2MB
  208. .____padding_file/27 2MB
  209. .____padding_file/169 2MB
  210. .____padding_file/120 2MB
  211. .____padding_file/178 2MB
  212. .____padding_file/8 2MB
  213. .____padding_file/135 2MB
  214. .____padding_file/148 2MB
  215. .____padding_file/146 2MB
  216. .____padding_file/63 2MB
  217. .____padding_file/175 2MB
  218. .____padding_file/157 2MB
  219. .____padding_file/215 2MB
  220. .____padding_file/164 2MB
  221. .____padding_file/129 2MB
  222. .____padding_file/192 2MB
  223. .____padding_file/82 2MB
  224. .____padding_file/14 2MB
  225. .____padding_file/127 2MB
  226. .____padding_file/93 2MB
  227. .____padding_file/84 2MB
  228. .____padding_file/97 2MB
  229. .____padding_file/126 2MB
  230. .____padding_file/100 2MB
  231. .____padding_file/115 2MB
  232. .____padding_file/166 2MB
  233. .____padding_file/130 2MB
  234. .____padding_file/106 2MB
  235. .____padding_file/221 2MB
  236. .____padding_file/30 2MB
  237. .____padding_file/189 2MB
  238. .____padding_file/12 2MB
  239. .____padding_file/26 2MB
  240. .____padding_file/118 2MB
  241. .____padding_file/212 2MB
  242. .____padding_file/145 2MB
  243. .____padding_file/161 2MB
  244. .____padding_file/69 1MB
  245. .____padding_file/202 1MB
  246. .____padding_file/203 1MB
  247. .____padding_file/217 1MB
  248. .____padding_file/209 1MB
  249. 2. Combinatorics/1.1 Section 2 Course Notes_jp2.zip 1MB
  250. 4. Distributions/17.1 Normal Distribution - Expected Value and Variance_jp2.zip 1MB
  251. .____padding_file/124 1MB
  252. .____padding_file/33 1MB
  253. 3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton_abbyy.gz 1MB
  254. .____padding_file/53 1MB
  255. .____padding_file/6 1MB
  256. .____padding_file/152 1MB
  257. .____padding_file/170 1MB
  258. .____padding_file/39 1MB
  259. .____padding_file/56 1MB
  260. .____padding_file/74 1MB
  261. .____padding_file/41 1MB
  262. .____padding_file/51 1MB
  263. 5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions_jp2.zip 1MB
  264. .____padding_file/18 1009KB
  265. .____padding_file/109 979KB
  266. .____padding_file/44 967KB
  267. .____padding_file/141 945KB
  268. 3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton_djvu.xml 941KB
  269. .____padding_file/234 913KB
  270. .____padding_file/57 874KB
  271. 3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton.pdf 845KB
  272. .____padding_file/20 832KB
  273. .____padding_file/54 823KB
  274. .____padding_file/77 807KB
  275. 2. Combinatorics/20.1 Additional Exercises Combinatorics_jp2.zip 789KB
  276. .____padding_file/179 769KB
  277. .____padding_file/91 719KB
  278. .____padding_file/88 715KB
  279. .____padding_file/112 693KB
  280. .____padding_file/143 654KB
  281. .____padding_file/80 613KB
  282. 3. Bayesian Inference/22.3 Bayesian Homework - Solutions_jp2.zip 581KB
  283. .____padding_file/71 577KB
  284. .____padding_file/22 555KB
  285. .____padding_file/198 540KB
  286. .____padding_file/132 525KB
  287. 4. Distributions/13.1 Poisson - Expected Value and Variance_jp2.zip 496KB
  288. .____padding_file/24 494KB
  289. 4. Distributions/1.1 Course Notes - Probability Distributions.pdf 448KB
  290. .____padding_file/206 404KB
  291. .____padding_file/231 400KB
  292. 3. Bayesian Inference/1.1 Section 3 Course Notes.pdf 386KB
  293. 5. Tie-ins to Other Fields/1.1 Probability in Finance Homework_jp2.zip 381KB
  294. 1. Introduction to Probability/2.1 Section 1 Course Notes.pdf 371KB
  295. 2. Combinatorics/13.1 Symmetry Explained_jp2.zip 360KB
  296. 4. Distributions/15.1 Solving Integrals.pdf 344KB
  297. .____padding_file/228 266KB
  298. .____padding_file/173 259KB
  299. 2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions.pdf 246KB
  300. 2. Combinatorics/1.1 Section 2 Course Notes.pdf 226KB
  301. 2. Combinatorics/11.1 Combinations With Repetition.pdf 224KB
  302. .____padding_file/149 209KB
  303. .____padding_file/155 205KB
  304. 2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions_abbyy.gz 185KB
  305. 5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions.pdf 184KB
  306. 2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions_djvu.xml 162KB
  307. .____padding_file/36 159KB
  308. 4. Distributions/13.1 Poisson - Expected Value and Variance.pdf 146KB
  309. 4. Distributions/17.1 Normal Distribution - Expected Value and Variance.pdf 144KB
  310. 3. Bayesian Inference/22.2 Bayesian Homework _jp2.zip 141KB
  311. .____padding_file/225 136KB
  312. 4. Distributions/1.1 Course Notes - Probability Distributions_abbyy.gz 136KB
  313. 4. Distributions/1.1 Course Notes - Probability Distributions_djvu.xml 132KB
  314. .____padding_file/219 125KB
  315. 5. Tie-ins to Other Fields/1.1 Probability in Finance Homework.pdf 111KB
  316. 4. Distributions/17.1 Normal Distribution - Expected Value and Variance_djvu.xml 109KB
  317. 2. Combinatorics/20.1 Additional Exercises Combinatorics.pdf 107KB
  318. 4. Distributions/15.1 Solving Integrals_djvu.xml 104KB
  319. 3. Bayesian Inference/1.1 Section 3 Course Notes_abbyy.gz 101KB
  320. 3. Bayesian Inference/1.1 Section 3 Course Notes_djvu.xml 97KB
  321. 3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton_djvu.txt 92KB
  322. 2. Combinatorics/11.1 Combinations With Repetition_abbyy.gz 92KB
  323. 4. Distributions/15.1 Solving Integrals_abbyy.gz 91KB
  324. 2. Combinatorics/13.1 Symmetry Explained.pdf 85KB
  325. 2. Combinatorics/11.1 Combinations With Repetition_djvu.xml 83KB
  326. .____padding_file/182 80KB
  327. 1. Introduction to Probability/2.1 Section 1 Course Notes_abbyy.gz 78KB
  328. 4. Distributions/17.1 Normal Distribution - Expected Value and Variance_abbyy.gz 77KB
  329. 1. Introduction to Probability/2.1 Section 1 Course Notes_djvu.xml 71KB
  330. 2. Combinatorics/1.1 Section 2 Course Notes_djvu.xml 70KB
  331. 2. Combinatorics/1.1 Section 2 Course Notes_abbyy.gz 66KB
  332. 2. Combinatorics/20.1 Additional Exercises Combinatorics_abbyy.gz 58KB
  333. 4. Distributions/13.1 Poisson - Expected Value and Variance_djvu.xml 53KB
  334. 2. Combinatorics/20.1 Additional Exercises Combinatorics_djvu.xml 47KB
  335. 4. Distributions/13.1 Poisson - Expected Value and Variance_abbyy.gz 42KB
  336. Udemy - Probability for Statistics and Data Science.torrent 40KB
  337. 3. Bayesian Inference/22.3 Bayesian Homework - Solutions_abbyy.gz 34KB
  338. 3. Bayesian Inference/22.3 Bayesian Homework - Solutions.pdf 30KB
  339. .____padding_file/138 29KB
  340. 5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions_abbyy.gz 27KB
  341. 3. Bayesian Inference/22.2 Bayesian Homework .pdf 27KB
  342. 3. Bayesian Inference/22.3 Bayesian Homework - Solutions_djvu.xml 26KB
  343. 5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions_djvu.xml 25KB
  344. 4. Distributions/29.2 Daily Views (post).xlsx 20KB
  345. Udemy - Probability for Statistics and Data Science_torrent.txt 20KB
  346. 4. Distributions/29. Practical Example Distributions.srt 20KB
  347. 3. Bayesian Inference/22. Practical Example Bayesian Inference.srt 19KB
  348. .____padding_file/195 17KB
  349. 4. Distributions/29.5 Customers_Membership (post).xlsx 16KB
  350. 2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions_djvu.txt 14KB
  351. 2. Combinatorics/20. Practical Example Combinatorics.srt 14KB
  352. 2. Combinatorics/13.1 Symmetry Explained_djvu.xml 13KB
  353. udemy-probability-for-statistics-and-data-science_meta.sqlite 11KB
  354. 5. Tie-ins to Other Fields/1. Tie-ins to Finance.srt 10KB
  355. 4. Distributions/29.1 Customers_Membership.xlsx 10KB
  356. 3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton_scandata.xml 10KB
  357. 4. Distributions/29.6 Daily Views.xlsx 10KB
  358. 4. Distributions/3. What are the two main types of distributions based on the type of data we have.srt 9KB
  359. 2. Combinatorics/13.1 Symmetry Explained_abbyy.gz 9KB
  360. 1. Introduction to Probability/2. What is the probability formula.srt 9KB
  361. 4. Distributions/1.1 Course Notes - Probability Distributions_djvu.txt 9KB
  362. 4. Distributions/15. What is a Continuous Distribution.srt 9KB
  363. 5. Tie-ins to Other Fields/2. Tie-ins to Statistics.srt 8KB
  364. 4. Distributions/11. What is the Binomial Distribution.srt 8KB
  365. 3. Bayesian Inference/22.2 Bayesian Homework _abbyy.gz 8KB
  366. 4. Distributions/1. What is a probability distribution.srt 8KB
  367. 3. Bayesian Inference/22.2 Bayesian Homework _djvu.xml 7KB
  368. 3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.srt 7KB
  369. 1. Introduction to Probability/8. What is a complement.srt 7KB
  370. 1. Introduction to Probability/4. How to compute expected values.srt 7KB
  371. 5. Tie-ins to Other Fields/1.1 Probability in Finance Homework_djvu.xml 7KB
  372. 5. Tie-ins to Other Fields/3. Tie-ins to Data Science.srt 7KB
  373. 4. Distributions/13. What is the Poisson Distribution.srt 7KB
  374. 1. Introduction to Probability/6. What is a probability frequency distribution.srt 6KB
  375. 2. Combinatorics/11.1 Combinations With Repetition_djvu.txt 6KB
  376. 3. Bayesian Inference/1.1 Section 3 Course Notes_djvu.txt 6KB
  377. 1. Introduction to Probability/1. What does the course cover.srt 6KB
  378. 2. Combinatorics/11. What are combinations and how are they similar to variations.srt 6KB
  379. 3. Bayesian Inference/7. What is the union of sets A and B.srt 6KB
  380. 4. Distributions/19. Standardizing a Normal Distribution.srt 5KB
  381. 1. Introduction to Probability/2.1 Section 1 Course Notes_djvu.txt 5KB
  382. 3. Bayesian Inference/1. What is a set.srt 5KB
  383. 4. Distributions/15.1 Solving Integrals_djvu.txt 5KB
  384. 4. Distributions/27. What is the Logistic Distribution.srt 5KB
  385. 5. Tie-ins to Other Fields/1.1 Probability in Finance Homework_abbyy.gz 5KB
  386. 3. Bayesian Inference/13. What is the difference between P(AB) and P(BA).srt 5KB
  387. 4. Distributions/17. What is a Normal Distribution.srt 5KB
  388. 3. Bayesian Inference/18. How do we derive the Multiplication Rule formula.srt 5KB
  389. 2. Combinatorics/20.1 Additional Exercises Combinatorics_djvu.txt 5KB
  390. 2. Combinatorics/9. What if we couldn't use certain values more than once.srt 5KB
  391. 3. Bayesian Inference/3. What are the different ways two events can interact with one another.srt 4KB
  392. 4. Distributions/1.1 Course Notes - Probability Distributions_scandata.xml 4KB
  393. 2. Combinatorics/13. What is symmetry in Combinations.srt 4KB
  394. 2. Combinatorics/17. What is the chance of a single ticket winning the lottery.srt 4KB
  395. 2. Combinatorics/1.1 Section 2 Course Notes_djvu.txt 4KB
  396. 4. Distributions/17.1 Normal Distribution - Expected Value and Variance_djvu.txt 4KB
  397. 4. Distributions/25. What is an Exponential Distribution.srt 4KB
  398. 2. Combinatorics/3. When do we use Permutations.srt 4KB
  399. 4. Distributions/9. What is the Bernoulli Distribution.srt 4KB
  400. 2. Combinatorics/15. How do we combine combinations of events with separate sample spaces.srt 4KB
  401. 2. Combinatorics/19. A Summary of Combinatorics.srt 4KB
  402. 3. Bayesian Inference/15. Conditional Probability in Real-Life.srt 3KB
  403. 2. Combinatorics/7. Why can we use certain values more than once.srt 3KB
  404. 3. Bayesian Inference/11. What does it mean to for two events to be dependent.srt 3KB
  405. 3. Bayesian Inference/1.1 Section 3 Course Notes_scandata.xml 3KB
  406. .____padding_file/186 3KB
  407. 2. Combinatorics/5. Solving Factorials.srt 3KB
  408. 2. Combinatorics/11.1 Combinations With Repetition_scandata.xml 3KB
  409. 4. Distributions/21. What is a Student's T Distribution.srt 3KB
  410. 4. Distributions/13.1 Poisson - Expected Value and Variance_djvu.txt 3KB
  411. 4. Distributions/23. What is a Chi Squared Distribution.srt 3KB
  412. 3. Bayesian Inference/16. How do we apply the additive rule.srt 3KB
  413. 4. Distributions/7. What is the Discrete Uniform Distribution.srt 3KB
  414. 3. Bayesian Inference/9. Are all complements mutually exclusive.srt 3KB
  415. 3. Bayesian Inference/22.3 Bayesian Homework - Solutions_djvu.txt 3KB
  416. 3. Bayesian Inference/5. What is the intersection of sets A and B.srt 2KB
  417. 4. Distributions/5. Discrete Distributions and their characteristics..srt 2KB
  418. 1. Introduction to Probability/2.1 Section 1 Course Notes_scandata.xml 2KB
  419. 2. Combinatorics/1.1 Section 2 Course Notes_scandata.xml 2KB
  420. 2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions_scandata.xml 2KB
  421. 4. Distributions/17.1 Normal Distribution - Expected Value and Variance_scandata.xml 2KB
  422. 5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions_djvu.txt 2KB
  423. 4. Distributions/15.1 Solving Integrals_scandata.xml 1KB
  424. 2. Combinatorics/1. Why are combinatorics useful.srt 1KB
  425. udemy-probability-for-statistics-and-data-science_meta.xml 921B
  426. 2. Combinatorics/20.1 Additional Exercises Combinatorics_scandata.xml 857B
  427. 4. Distributions/13.1 Poisson - Expected Value and Variance_scandata.xml 857B
  428. 5. Tie-ins to Other Fields/1.1 Probability in Finance Homework_scandata.xml 857B
  429. 5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions_scandata.xml 857B
  430. 3. Bayesian Inference/22.2 Bayesian Homework _djvu.txt 608B
  431. 2. Combinatorics/13.1 Symmetry Explained_scandata.xml 559B
  432. 3. Bayesian Inference/22.2 Bayesian Homework _scandata.xml 559B
  433. 3. Bayesian Inference/22.3 Bayesian Homework - Solutions_scandata.xml 559B
  434. 2. Combinatorics/13.1 Symmetry Explained_djvu.txt 527B
  435. 5. Tie-ins to Other Fields/1.1 Probability in Finance Homework_djvu.txt 277B
  436. 1. Introduction to Probability/3. What is the probability formula.html 154B
  437. 1. Introduction to Probability/5. How to compute expected values.html 154B
  438. 1. Introduction to Probability/7. What is a probability frequency distribution.html 154B
  439. 1. Introduction to Probability/9. What is a complement.html 154B
  440. 2. Combinatorics/10. Computing Variations without Repetition.html 154B
  441. 2. Combinatorics/12. What are combinations and how are they similar to variations.html 154B
  442. 2. Combinatorics/14. What is symmetry in Combinations.html 154B
  443. 2. Combinatorics/16. How do we combine combinations of events with separate sample spaces.html 154B
  444. 2. Combinatorics/18. What is the chance of winning the lottery.html 154B
  445. 2. Combinatorics/2. Why are combinatorics useful.html 154B
  446. 2. Combinatorics/4. When do we use Permutations.html 154B
  447. 2. Combinatorics/6. Solving Factorials.html 154B
  448. 2. Combinatorics/8. Why can we use certain values more than once.html 154B
  449. 3. Bayesian Inference/10. Are all complements mutually exclusive.html 154B
  450. 3. Bayesian Inference/12. What does it mean to for two events to be dependent.html 154B
  451. 3. Bayesian Inference/14. What is the difference between P(AB) and P(BA).html 154B
  452. 3. Bayesian Inference/17. How do we apply the additive rule.html 154B
  453. 3. Bayesian Inference/19. How do we interpret the Multiplication Rule Formula.html 154B
  454. 3. Bayesian Inference/2. What is a set.html 154B
  455. 3. Bayesian Inference/21. Bayes' Theorem.html 154B
  456. 3. Bayesian Inference/4. What are the different ways two events can interact with one another.html 154B
  457. 3. Bayesian Inference/6. What is the intersection of sets A and B.html 154B
  458. 3. Bayesian Inference/8. What is the union of sets A and B.html 154B
  459. 4. Distributions/10. What is the Bernoulli Distribution.html 154B
  460. 4. Distributions/12. What is the Binomial Distribution.html 154B
  461. 4. Distributions/14. What is the Poisson Distribution.html 154B
  462. 4. Distributions/16. What is a Continuous Distribution.html 154B
  463. 4. Distributions/18. What is a Normal Distribution.html 154B
  464. 4. Distributions/2. What is a probability distribution.html 154B
  465. 4. Distributions/20. How do we Standardize a Normal Distribution.html 154B
  466. 4. Distributions/22. What is a Student's T Distribution.html 154B
  467. 4. Distributions/24. What is a Chi-Squared Distribution.html 154B
  468. 4. Distributions/26. What is an Exponential Distribution.html 154B
  469. 4. Distributions/28. What is a Logistic Distribution.html 154B
  470. 4. Distributions/4. What are the two main types of distributions based on the type of data we have.html 154B
  471. 4. Distributions/6. Discrete Distributions and Their Characteristics..html 154B
  472. 4. Distributions/8. What is the Discrete Uniform Distribution.html 154B
  473. [Tutorialsplanet.NET].url 128B