{"id":256,"date":"2015-05-30T08:23:47","date_gmt":"2015-05-30T05:23:47","guid":{"rendered":"http:\/\/sakhar.co\/ar\/?p=256"},"modified":"2018-10-14T04:11:08","modified_gmt":"2018-10-14T04:11:08","slug":"%d8%a7%d9%84%d8%aa%d8%ad%d8%b6%d9%8a%d8%b1-%d9%84%d9%84%d8%af%d8%b1%d8%a7%d8%b3%d8%a7%d8%aa-%d8%a7%d9%84%d8%b9%d9%84%d9%8a%d8%a7","status":"publish","type":"post","link":"http:\/\/sakhar.co\/?p=256&lang=ar","title":{"rendered":"\u0627\u0644\u062a\u062d\u0636\u064a\u0631 \u0644\u0644\u062f\u0631\u0627\u0633\u0627\u062a \u0627\u0644\u0639\u0644\u064a\u0627 \u0645\u0646 \u062a\u062c\u0631\u0628\u0629 \u0634\u062e\u0635\u064a\u0629"},"content":{"rendered":"<p>\u0628\u0639\u062f \u0623\u0646 \u0623\u0646\u0647\u064a\u062a \u0623\u0648\u0644 \u0633\u0646\u0629 \u0641\u064a \u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u062f\u0643\u062a\u0648\u0631\u0627\u0647\u060c \u0623\u0648\u062f \u0627\u0644\u0645\u0634\u0627\u0631\u0643\u0629 \u0647\u0646\u0627 \u0628\u0628\u0639\u0636 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\u0627\u0644\u0623\u0631\u0642\u0627\u0645 \u0645\u0636\u0631\u0648\u0628\u0629 \u0628\u0625\u062d\u062a\u0645\u0627\u0644 \u0643\u0644 \u0631\u0642\u0645\u060c \u0641\u0647\u064a: 1\/6 * 1 + 1\/6 * 2 + 1\/6 *3 + 1\/6 * 4 + 1\/6 *5 + 1\/6 * 6 = 3.5\u060c \u0635\u062d\u064a\u062d \u0623\u0646\u0647 \u0644\u0627 \u064a\u0648\u062c\u062f \u0623\u064a \u0631\u0642\u0645 \u064a\u062d\u0645\u0644 3.5 \u0648\u0644\u0643\u0646 \u0644\u0648 \u062a\u0639\u064a\u062f \u0627\u0644\u062a\u062c\u0631\u0628\u0629 \u0645\u0631\u0627\u062a \u0639\u062f\u064a\u062f\u0629\u00a0\u0648\u062a\u0623\u062e\u0630 \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0646\u062a\u0627\u0626\u062c\u00a0\u0633\u062a\u062c\u062f\u0647 \u0642\u0631\u064a\u0628 \u0645\u0646 3.5.<\/p>\n<p>\u0623\u0630\u0643\u0631 \u0623\u0646\u00a0\u0641\u064a \u0645\u0627\u062f\u0629 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0625\u062c\u062a\u0645\u0627\u0639\u064a\u0629 Social Networks\u060c \u0643\u0627\u0646 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\u0627\u0644\u0645\u0634\u062a\u0631\u0643\u064a\u0646 (\u0634\u0644\u0629 \u0623\u0648 \u0642\u0631\u0648\u0628) \u0643\u0644\u0647\u0645 \u0645\u062a\u0635\u0644\u064a\u0646 \u0628\u0628\u0639\u0636\u0647\u0645 \u0627\u0644\u0628\u0639\u0636\u060c \u0643\u0627\u0646 \u0627\u0644\u0633\u0624\u0627\u0644 \u0644\u062d\u0633\u0627\u0628 \u0639\u062f\u062f \u0627\u0644\u0632\u0645\u0631 \u0641\u064a \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0628\u0645\u0648\u0627\u0635\u0641\u0627\u062a \u0645\u0639\u064a\u0646\u0629 \u0645\u062a\u063a\u064a\u0631\u0629 \u0648\u0644\u064a\u0633 \u0628\u0623\u0631\u0642\u0627\u0645 \u062b\u0627\u0628\u062a\u0629\u060c \u0648\u0643\u0627\u0646 \u0645\u0646 \u0627\u0644\u0635\u0639\u0628 \u062d\u0644\u0647 \u0628\u062f\u0648\u0646 \u0623\u0646 \u0623\u0643\u0648\u0646 \u0645\u0644\u0645\u064b\u0627 \u062a\u0645\u0627\u0645\u0627 \u0628\u0645\u0641\u0647\u0648\u0645 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 (\u0648\u0645\u0641\u0627\u0647\u064a\u0645 \u0623\u062e\u0631\u0649) \u0627\u0644\u062a\u064a \u0644\u0645 \u062a\u063a\u0637\u0649 \u0641\u064a \u0627\u0644\u0645\u0627\u062f\u0629 \u0623\u0633\u0627\u0633\u0627 \u0648\u0645\u0641\u062a\u0631\u0636 \u0623\u0646 \u0627\u0644\u0637\u0627\u0644\u0628 \u0645\u0644\u0645 \u0641\u064a\u0647\u0627 \u062a\u0645\u0627\u0645\u0627.<\/p>\n<p>\u0623\u064a\u0636\u0627 \u0647\u0646\u0627\u0643 \u0645\u0641\u0627\u0647\u064a\u0645 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629 \u0628\u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0645\u062b\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 variance \u0648\u0627\u0644\u0625\u0646\u062d\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a standard deviation \u0645\u0647\u0645 \u0627\u0644\u0625\u0644\u0645\u0627\u0645 \u0628\u0647\u0627.<\/p>\n<p><strong>\u0646\u0638\u0631\u064a\u0629 \u0627\u0644\u0625\u062d\u062a\u0645\u0627\u0644\u0627\u062a Probability Theory<\/strong><\/p>\n<p>\u0647\u064a \u0641\u0631\u0639 \u0645\u0646 \u0641\u0631\u0648\u0639 \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0627\u062a \u0648\u0627\u0644\u0625\u062d\u0635\u0627\u0621 \u0648\u062a\u0634\u0645\u0644 \u0645\u0641\u0647\u0648\u0645 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0623\u0639\u0644\u0627\u0647 (\u0630\u0643\u0631\u062a\u0647\u0627 \u0645\u0633\u062a\u0642\u0644\u0629 \u0644\u0623\u0646\u064a \u0623\u0631\u0627\u0647\u0627 \u0645\u0647\u0645\u0629). \u062a\u0647\u062a\u0645 \u0628\u062f\u0631\u0627\u0633\u0629 \u0648\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0638\u0648\u0627\u0647\u0631 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629. \u0645\u0646 \u0627\u0644\u0645\u0647\u0645 \u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u062a\u0627\u0644\u064a\u0629: \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0625\u062d\u062a\u0645\u0627\u0644 probability distribution (discrete and continuous)\u060c law of large numbers, central limit theorem\u060c bayes rule, markov chain and markov assumption.<\/p>\n<p>\u0623\u064a\u0636\u0627 \u0645\u0646 \u0627\u0644\u0645\u0647\u0645 \u0627\u0644\u0625\u0644\u0645\u0627\u0645 \u0628\u062a\u0648\u0632\u064a\u0639\u0627\u062a (\u0625\u0646 \u0635\u062d\u062a \u0627\u0644\u062a\u0631\u062c\u0645\u0629) \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u062b\u0644: gaussian distribution, Poisson, Bernoulli, binomial and multinomial.<\/p>\n<p><b>\u0627\u0644\u0645\u062a\u062c\u0647\u0627\u062a vectors \u0648\u0627\u0644\u062c\u0628\u0631 \u0627\u0644\u062e\u0637\u064a linear algebra<\/b><\/p>\n<p>\u0627\u0644\u0645\u062a\u062c\u0647\u0627\u062a \u0645\u0641\u0647\u0648\u0645 \u0623\u0633\u0627\u0633\u064a \u0641\u064a \u0639\u0644\u0648\u0645 \u0627\u0644\u062d\u0627\u0633\u0628 \u0648\u0627\u0644\u062a\u062e\u0635\u0635\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0639\u0645\u0648\u0645\u0627\u060c \u0648\u0643\u0644 \u0627\u0644\u0623\u0645\u0648\u0631 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0647\u0627 \u0641\u064a \u0627\u0644\u062c\u0628\u0631 \u0627\u0644\u062e\u0637\u064a\u060c \u0645\u062b\u0644 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0627\u062a matrices \u0648\u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0625\u0642\u0644\u064a\u062f\u064a\u0629 \u0648\u063a\u064a\u0631\u0647\u0627. \u0645\u0646 \u0627\u0644\u0645\u0647\u0645 \u0627\u0644\u0625\u0644\u0645\u0627\u0645 \u0628\u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u062a\u0627\u0644\u064a\u0629: \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u062d\u0633\u0627\u0628\u064a\u0629 \u0639\u0644\u0649 \u0627\u0644\u0645\u062a\u062c\u0647\u0627\u062a \u0648\u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0627\u062a \u0645\u062b\u0644 dot product, cross product, transpose, eigenvalues and eigenvectors\u060c \u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0645\u062b\u0644 projection\u060c \u062a\u0641\u0627\u0636\u0644 \u0648\u062a\u0643\u0627\u0645\u0644 \u0627\u0644\u0645\u062a\u062c\u0647\u0627\u062a vector calculus (\u0648\u062d\u0633\u0627\u0628 \u0627\u0644\u062a\u0641\u0627\u0636\u0644 \u0648\u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0628\u0634\u0643\u0644 \u0639\u0627\u0645).<\/p>\n<p>\u0647\u0630\u0647 \u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u062a\u0648\u0627\u062c\u0647\u0647\u0627 \u062a\u0642\u0631\u064a\u0628\u0627 \u0641\u064a \u0643\u0644 \u0627\u0644\u0645\u0648\u0627\u062f \u0645\u062b\u0644\u0627 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0625\u062c\u062a\u0645\u0627\u0639\u064a\u0629 Social Networks\u060c \u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 Machine Learning\u060c \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0644\u063a\u0627\u062a \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 Natural Language Processing.<\/p>\n<p><strong>\u0646\u0638\u0631\u064a\u0629 \u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0627\u0644\u062d\u0648\u0633\u0628\u064a\u0629 computational complexity theory<\/strong><\/p>\n<p>\u062a\u0642\u0631\u064a\u0628\u0627 \u0643\u0644 \u0627\u0644\u0645\u0648\u0627\u062f \u0648\u0627\u0644\u0645\u0648\u0627\u0636\u064a\u0639 \u0641\u064a \u0639\u0644\u0648\u0645 \u0627\u0644\u062d\u0627\u0633\u0628 \u0648\u0627\u0644\u062a\u062e\u0635\u0635\u0627\u062a \u0627\u0644\u0642\u0631\u064a\u0628\u0629 \u0645\u0646\u0647 \u064a\u0643\u0648\u0646 \u0644\u0647\u0627 \u0639\u0644\u0627\u0642\u0629 \u0628\u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0644\u0646\u0638\u0631\u064a\u0629 \u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0627\u0644\u062d\u0648\u0633\u0628\u064a\u0629\u060c \u0648\u0647\u064a \u062a\u062a\u0639\u0644\u0642 \u0628\u062f\u0631\u0627\u0633\u0629 \u0648\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u0634\u0627\u0643\u0644 \u0627\u0644\u062d\u0648\u0633\u0628\u064a\u0629 \u0645\u0646 \u062d\u064a\u062b \u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0648\u0635\u0639\u0648\u0628\u0629 \u0627\u0644\u062d\u0644 \u0644\u0647\u0627 (\u0627\u0644\u0635\u0639\u0648\u0628\u0629 \u0647\u0646\u0627 \u062a\u062a\u0639\u0644\u0642 \u0628\u0627\u0644\u0648\u0642\u062a \u0627\u0644\u0630\u064a \u062a\u062d\u062a\u0627\u062c\u0647 \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0644\u062d\u0644 \u0645\u0634\u0643\u0644\u0629 \u0645\u0639\u064a\u0646\u0629)\u060c \u0645\u0646 \u0623\u0647\u0645 \u0627\u0644\u0645\u0648\u0627\u0636\u064a\u0639: Big-O notation, best case and worst case\u00a0(upper-bounds and lower-bound), np vs p.<\/p>\n<p><b>\u0623\u062f\u0648\u0627\u062a \u0645\u0647\u0645\u0629:<\/b><\/p>\n<p>\u0645\u0646 \u0627\u0644\u0645\u0647\u0645 \u0625\u062a\u0642\u0627\u0646 \u0644\u063a\u0627\u062a \u0628\u0631\u0645\u062c\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u062e\u0627\u0635\u0629 \u0627\u0644\u0644\u063a\u0627\u062a \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u0645\u0633\u062a\u0648\u0649 \u062c\u062f\u0627\u060c \u0648\u0644\u0639\u0644 \u0623\u0647\u0645\u0647\u0627 \u0641\u064a \u0648\u062c\u0647\u0629 \u0646\u0638\u0631\u064a \u0647\u064a \u0644\u063a\u062c \u0628\u0627\u064a\u062b\u0648\u0646 Python\u060c \u0641\u0647\u064a \u062a\u062e\u062a\u0635\u0631 \u0639\u0644\u064a\u0643 \u0627\u0644\u0643\u062b\u064a\u0631 \u0645\u0646 \u0627\u0644\u0648\u0642\u062a \u0644\u062d\u0644 \u0627\u0644\u0645\u0633\u0627\u0626\u0644 \u0628\u062f\u0648\u0646 \u0627\u0644\u062f\u062e\u0648\u0644 \u0641\u064a \u062a\u0639\u0642\u064a\u062f \u0644\u063a\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u0629 \u0646\u0641\u0633\u0647\u0627 \u0645\u062b\u0644 \u0637\u0631\u064a\u0642\u0629 \u062a\u0631\u0643\u064a\u0628 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a data structure \u0648\u0628\u0639\u0636 \u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0648\u0627\u0644\u0623\u062f\u0648\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u0644\u063a\u0629 \u0646\u0641\u0633\u0647\u0627\u060c \u0623\u064a\u0636\u0627 matlab \u062c\u064a\u062f \u0627\u0644\u0625\u0644\u0645\u0627\u0645 \u0628\u0647 \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0643\u0648\u0646\u0647 \u064a\u0633\u062a\u062e\u062f\u0645 \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0641\u064a \u0627\u0644\u0645\u062c\u0627\u0644 \u0627\u0644\u0623\u0643\u0627\u062f\u064a\u0645\u064a. \u0623\u0630\u0643\u0631 \u0623\u0646 \u0623\u062d\u062f \u0627\u0644\u0623\u0635\u062f\u0642\u0627\u0621 \u0643\u0627\u0646 \u064a\u0646\u0635\u062d\u0646\u064a \u0628\u0634\u0643\u0644 \u0645\u0633\u062a\u0645\u0631 \u0628\u0625\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0627\u064a\u062b\u0648\u0646 \u0643\u0644 \u0645\u0627 \u062d\u062f\u062b\u062a\u0647 \u0639\u0646 \u0645\u0634\u0627\u0643\u0644 \u0623\u0648\u0627\u062c\u0647\u0647\u0627 \u0641\u064a \u0628\u0639\u0636 \u0627\u0644\u0645\u0633\u0627\u0626\u0644 \u0627\u0644\u0645\u0639\u0642\u062f\u0629\u060c \u0648\u0643\u0627\u0646 \u062f\u0627\u0626\u0645\u0627 \u064a\u0646\u0635\u062d\u0646\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0627\u064a\u062b\u0648\u0646! \u0643\u0627\u0646\u062a \u0645\u0634\u0643\u0644\u062a\u064a \u0641\u0642\u0637 \u0623\u0646\u064a \u0644\u064a\u0633 \u0644\u062f\u064a \u0627\u0644\u0648\u0642\u062a \u0627\u0644\u0643\u0627\u0641\u064a \u0644\u062a\u0639\u0644\u0645\u0647\u0627 (\u0628\u062d\u0633\u0628 \u0638\u0646\u064a) \u0641\u0644\u0627 \u0623\u0631\u064a\u062f \u0622\u0646 \u064a\u0636\u064a\u0639 \u0645\u0646\u064a \u0639\u062f\u0629 \u0623\u064a\u0627\u0645 \u0644\u062a\u0639\u0644\u0645 \u0644\u063a\u0629 \u0628\u0631\u0645\u062c\u0629\u060c \u0644\u0643\u0646 \u0645\u0627 \u062d\u0635\u0644 \u0647\u0648 \u0623\u0646\u064a 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href=\"https:\/\/www.coursera.org\/\">https:\/\/www.coursera.org\/<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b>\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u062d\u0636\u064a\u0631 \u0644\u0644\u062f\u0631\u0627\u0633\u0627\u062a \u0627\u0644\u0639\u0644\u064a\u0627 \u0641\u064a \u0627\u0644\u062c\u0627\u0645\u0639\u0627\u062a<\/b><\/p>\n<p>\u0643\u062b\u064a\u0631 \u0645\u0646 \u0627\u0644\u062c\u0627\u0645\u0639\u0627\u062a \u0641\u064a \u0623\u0645\u0631\u064a\u0643\u0627 \u0644\u062f\u064a\u0647\u0627 \u0628\u0631\u0627\u0645\u062c \u0644\u0644\u062a\u062d\u0636\u064a\u0631 \u0644\u0644\u062f\u0631\u0627\u0633\u0627\u062a \u0627\u0644\u0639\u0644\u064a\u0627\u060c \u0648\u0643\u062b\u064a\u0631 \u0645\u0646\u0647\u0627 \u0644\u0627 \u064a\u0634\u062a\u0631\u0637 \u0623\u0646 \u0627\u0644\u0637\u0627\u0644\u0628 \u064a\u0643\u0648\u0646 \u0645\u0642\u0628\u0648\u0644\u0627 \u0641\u064a \u0627\u0644\u062c\u0627\u0645\u0639\u0629\u060c \u062d\u064a\u062b \u0623\u0646 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