{"id":17441,"date":"2020-09-14T21:57:12","date_gmt":"2020-09-15T01:57:12","guid":{"rendered":"https:\/\/bangla.salearningschool.com\/recent-posts\/misc-statistic-probability-linear-algebra-matrix\/"},"modified":"2020-09-14T21:57:12","modified_gmt":"2020-09-15T01:57:12","slug":"misc-statistic-probability-linear-algebra-matrix","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=17441","title":{"rendered":"MISC STATistic PROBability LINEAR ALGebra MATRIX"},"content":{"rendered":"<p>MISC STAT PROB LINEAR ALG MATRIX<\/p>\n<p>PDF AND Stock and Bell Curve:<br \/>\n<a href=\"https:\/\/www.investopedia.com\/terms\/p\/pdf.asp\">https:\/\/www.investopedia.com\/terms\/p\/pdf.asp<\/a><\/p>\n<p>PDF in Khan Academy:<br \/>\n<a href=\"https:\/\/www.khanacademy.org\/math\/statistics-probability\/random-variables-stats-library\/random-variables-continuous\/v\/probability-density-functions\">https:\/\/www.khanacademy.org\/math\/statistics-probability\/random-variables-stats-library\/random-variables-continuous\/v\/probability-density-functions<\/a><\/p>\n<p>Mixed Random Variable<br \/>\n<a href=\"https:\/\/www.youtube.com\/watch?v=ZXJjuRAXMhE\">https:\/\/www.youtube.com\/watch?v=ZXJjuRAXMhE<\/a><\/p>\n<p>&quot;The variance and the standard deviation are measures of the spread of the data around the mean. They summarise how close each observed data value is to the mean value. In datasets with a small spread all values are very close to the mean, resulting in a small variance and standard deviation.Jul 4, 2013&quot;<br \/>\nStatistical Language &#8211; Measures of Spread<br \/>\n<a href=\"https:\/\/www.abs.gov.au\/websitedbs\/a3121120.nsf\/home\/statistical+language+-+measures+of+spread\">https:\/\/www.abs.gov.au\/websitedbs\/a3121120.nsf\/home\/statistical+language+-+measures+of+spread<\/a><br \/>\n<a href=\"https:\/\/www.abs.gov.au\/websitedbs\/a3121120.nsf\/home\/statistical+language+-+measures+of+spread\">https:\/\/www.abs.gov.au\/websitedbs\/a3121120.nsf\/home\/statistical+language+-+measures+of+spread<\/a><\/p>\n<p>Laplacian PDF:<br \/>\n<a href=\"https:\/\/www.statisticshowto.com\/laplace-distribution-double-exponential\/\">https:\/\/www.statisticshowto.com\/laplace-distribution-double-exponential\/<\/a><\/p>\n<p>Laplace Method:<br \/>\nNormalization Constant:<br \/>\n<a href=\"http:\/\/www.inference.org.uk\/mackay\/itprnn\/ps\/341.342.pdf\">http:\/\/www.inference.org.uk\/mackay\/itprnn\/ps\/341.342.pdf<\/a><\/p>\n<p>Normalized Laplacian<br \/>\n<a href=\"https:\/\/www.d.umn.edu\/~dfroncek\/MCCCC_2018\/abstracts\/Butler_slides.pdf\">https:\/\/www.d.umn.edu\/~dfroncek\/MCCCC_2018\/abstracts\/Butler_slides.pdf<\/a><\/p>\n<p>*** . *** *** . *** . *** . ***<\/p>\n<p><em><strong><em><strong>Courses: <\/strong><a href=\"http:\/\/training.sitestree.com\/\">http:\/\/Training.SitesTree.com<\/a> (Big Data, Cloud)<\/em><br \/>\nBlog<\/strong>: <a href=\"http:\/\/bangla.salearningschool.com\/\">http:\/\/Bangla.SaLearningSchool.com<\/a>, <a href=\"http:\/\/sitestree.com\">http:\/\/SitesTree.com<\/a><\/em><br \/>\n<em><strong>8112223 Canada Inc.\/JustEtc<\/strong>: <a href=\"http:\/\/JustEtc.net\">http:\/\/JustEtc.net<\/a><\/em><\/p>\n<p><em><strong>Online Product Database: <\/strong><\/em><a href=\"http:\/\/www.shopforsoul.com\/\">http:\/\/www.ShopForSoul.com\/<\/a> (Not For Retail)<br \/>\n<em><strong>Linkedin<\/strong>: <a href=\"https:\/\/ca.linkedin.com\/in\/sayedjustetc\">https:\/\/ca.linkedin.com\/in\/sayedjustetc<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MISC STAT PROB LINEAR ALG MATRIX PDF AND Stock and Bell Curve: https:\/\/www.investopedia.com\/terms\/p\/pdf.asp PDF in Khan Academy: https:\/\/www.khanacademy.org\/math\/statistics-probability\/random-variables-stats-library\/random-variables-continuous\/v\/probability-density-functions Mixed Random Variable https:\/\/www.youtube.com\/watch?v=ZXJjuRAXMhE &quot;The variance and the standard deviation are measures of the spread of the data around the mean. They summarise how close each observed data value is to the mean value. In datasets with &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"http:\/\/bangla.sitestree.com\/?p=17441\">Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-17441","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":16536,"url":"http:\/\/bangla.sitestree.com\/?p=16536","url_meta":{"origin":17441,"position":0},"title":"Part 2: Some basic Math\/Statistics concepts that Data Scientists (the true ones) will usually know\/use","author":"Sayed","date":"December 29, 2019","format":false,"excerpt":"Part 2: Some basic Math\/Statistics concepts that Data Scientists (the true ones) will usually know\/use (came across, studied, learned, used) Covariance and Correlation \"Covariance is a measure of how two variables change together, but its magnitude is unbounded, so it is difficult to interpret. By dividing covariance by the product\u2026","rel":"","context":"In &quot;Math and Statistics for Data Science, and Engineering&quot;","block_context":{"text":"Math and Statistics for Data Science, and Engineering","link":"http:\/\/bangla.sitestree.com\/?cat=1908"},"img":{"alt_text":"[eq5]","src":"https:\/\/i0.wp.com\/www.statlect.com\/images\/covariance-formula__12.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":16532,"url":"http:\/\/bangla.sitestree.com\/?p=16532","url_meta":{"origin":17441,"position":1},"title":"Part 1: Some Math\/Stat Background that (true) Data Scientists will know\/use: from the internet","author":"Sayed","date":"December 28, 2019","format":false,"excerpt":"Chebyshev's inequality \"In probability theory, Chebyshev's inequality (also called the Bienaym\u00e9\u2013Chebyshev inequality) guarantees that, for a wide class of probability distributions, no more than a certain fraction of values can be more than a certain distance from the mean. Specifically, no more than 1\/k2 of the distribution's values can be\u2026","rel":"","context":"In &quot;Math and Statistics for Data Science, and Engineering&quot;","block_context":{"text":"Math and Statistics for Data Science, and Engineering","link":"http:\/\/bangla.sitestree.com\/?cat=1908"},"img":{"alt_text":"","src":"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/8\/85\/Discrete_probability_distrib.svg\/220px-Discrete_probability_distrib.svg.png","width":350,"height":200},"classes":[]},{"id":16701,"url":"http:\/\/bangla.sitestree.com\/?p=16701","url_meta":{"origin":17441,"position":2},"title":"Misc. Math. Data Science. Machine Learning. Optimization. Vector, PCA, Basis, Covariance","author":"Sayed","date":"January 30, 2020","format":false,"excerpt":"Misc. Math. Data Science. Machine Learning. Optimization. Vector, PCA, Basis, Covariance Orthonormality: Orthonormal Vectors \"In linear algebra, two vectors in an inner product space are orthonormal if they are orthogonal and unit vectors. A set of vectors form an orthonormal set if all vectors in the set are mutually orthogonal\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2020\/01\/image-8-e1580436936625.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":16434,"url":"http:\/\/bangla.sitestree.com\/?p=16434","url_meta":{"origin":17441,"position":3},"title":"Stochastic Processes and Related Terms","author":"Sayed","date":"November 27, 2019","format":false,"excerpt":"What is a Random Variable? 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Specifically, no more than 1\/k2 of the distribution's values can be\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16550,"url":"http:\/\/bangla.sitestree.com\/?p=16550","url_meta":{"origin":17441,"position":5},"title":"Part 3: Some Basic Math\/Stat Concepts for the wanna be Data Scientists","author":"Sayed","date":"December 30, 2019","format":false,"excerpt":"Conditional Probability and PDF \"The conditional probability of an event B is the probability that the event will occur given the knowledge that an event A has already occurred. 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