{"id":78,"date":"2018-10-07T15:48:58","date_gmt":"2018-10-07T13:48:58","guid":{"rendered":"http:\/\/drizzt.home.amu.edu.pl\/?page_id=78"},"modified":"2025-03-20T03:18:50","modified_gmt":"2025-03-20T02:18:50","slug":"analiza-danych-2","status":"publish","type":"page","link":"http:\/\/drizzt.home.amu.edu.pl\/?page_id=78","title":{"rendered":"Analiza danych"},"content":{"rendered":"<h3>Wyk\u0142ady<\/h3>\n<ol>\n<li><a href=\"\/images\/DADA_AIPD\/W1.pdf\">Og\u00f3lne wiadomo\u015bci R<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R1.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W2.pdf\">Grafika w R<\/a>; <a href=\"\/images\/DADA_AIPD\/R2.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W3.pdf\">Generowanie danych, rachunek b\u0142\u0119d\u00f3w<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R3.R\">Wywo\u0142ania<\/a>;<\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W4.pdf\">Regresja liniowa, wielokrotna kwantylowa<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R4.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W5.pdf\">Wsp\u00f3\u0142liniowo\u015b\u0107 zmiennych, regresja nieliniowa i logistyczna, gradient prosty<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R5.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W6.pdf\">Analiza prze\u017cycia<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R6.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W7.pdf\">Szeregi czasowe<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R7.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W8.pdf\">Redukcja wymiaru<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R8.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W9.pdf\">Klasyfikacja<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R9.R\">Wywo\u0142ania<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/W10.pdf\">Analiza skupie\u0144<\/a>;\u00a0<a href=\"\/images\/DADA_AIPD\/R10.R\">Wywo\u0142ania<\/a><\/li>\n<\/ol>\n<h3>\u0106wiczenia<\/h3>\n<ul>\n<li><a href=\"\/images\/DADA_AIPD\/C1.pdf\">\u0106wiczenia 1<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C2.pdf\">\u0106wiczenia 2<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C3.pdf\">\u0106wiczenia 3<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C4.pdf\">\u0106wiczenia 4<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C5.pdf\">\u0106wiczenia 5<\/a>; <a href=\"\/images\/DADA_AIPD\/graduate.csv\">graduate.csv<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C6.pdf\">\u0106wiczenia 6<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C7.pdf\">\u0106wiczenia 7<\/a>; <a href=\"\/images\/DADA_AIPD\/female.txt\">female.txt<\/a>; <a href=\"\/images\/DADA_AIPD\/unemp.txt\">unemp.txt<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C8.pdf\">\u0106wiczenia 8<\/a>; <a href=\"\/images\/DADA_AIPD\/heartDisease.csv\">heartDisease.csv<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C9.pdf\">\u0106wiczenia 9<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/C10.pdf\">\u0106wiczenia 10<\/a><\/li>\n<\/ul>\n<h3>Materia\u0142y dodatkowe<\/h3>\n<ul>\n<li><a href=\"https:\/\/developers.google.com\/machine-learning\/crash-course\"> Machine Learning Crash Course with TensorFlow APIs &#8211; Google&#8217;s fast-paced, practical introduction to machine learning<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/GettingStartedR.pdf\">Getting Started in R<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/50YearsofDS.pdf\">David Donoho (2017). 50 Years of Data Science. Journal of Computational and Graphical Statistics, 26(4):745-766<\/a><\/li>\n<li><a href=\"\/images\/DADA_AIPD\/LP0112018.pdf\">Kobyli\u0144ski, \u0141. (2018). Kim jest Data Scientist. Lubelski programista 11 (3):8-10<\/a><\/li>\n<\/ul>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-medium wp-image-473 aligncenter\" src=\"http:\/\/drizzt.home.amu.edu.pl\/wp-content\/uploads\/2022\/11\/datcamp-300x62.png\" alt=\"\" width=\"300\" height=\"62\" srcset=\"http:\/\/drizzt.home.amu.edu.pl\/wp-content\/uploads\/2022\/11\/datcamp-300x62.png 300w, http:\/\/drizzt.home.amu.edu.pl\/wp-content\/uploads\/2022\/11\/datcamp.png 519w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>This class is supported by <a href=\"https:\/\/www.datacamp.com\/\">DataCamp<\/a>, the most intuitive learning platform for data science and analytics. Learn any time, anywhere and become an expert in R, Python, SQL, and more. DataCamp\u2019s learn-by-doing methodology combines short expert videos and hands-on-the-keyboard exercises to help learners retain knowledge. DataCamp offers 350+ courses by expert instructors on topics such as importing data, data visualization, and machine learning. They\u2019re constantly expanding their curriculum to keep up with the latest technology trends and to provide the best learning experience for all skill levels. Join over 6 million learners around the world and close your skills gap.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wyk\u0142ady Og\u00f3lne wiadomo\u015bci R;\u00a0Wywo\u0142ania Grafika w R; Wywo\u0142ania Generowanie danych, rachunek b\u0142\u0119d\u00f3w;\u00a0Wywo\u0142ania; Regresja liniowa, wielokrotna kwantylowa;\u00a0Wywo\u0142ania Wsp\u00f3\u0142liniowo\u015b\u0107 zmiennych, regresja nieliniowa i logistyczna, gradient prosty;\u00a0Wywo\u0142ania Analiza prze\u017cycia;\u00a0Wywo\u0142ania Szeregi czasowe;\u00a0Wywo\u0142ania Redukcja wymiaru;\u00a0Wywo\u0142ania Klasyfikacja;\u00a0Wywo\u0142ania Analiza skupie\u0144;\u00a0Wywo\u0142ania \u0106wiczenia \u0106wiczenia 1 \u0106wiczenia 2 \u0106wiczenia 3 \u0106wiczenia 4 \u0106wiczenia 5; graduate.csv \u0106wiczenia 6 \u0106wiczenia 7; female.txt; unemp.txt \u0106wiczenia 8; heartDisease.csv \u0106wiczenia [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=\/wp\/v2\/pages\/78"}],"collection":[{"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=78"}],"version-history":[{"count":39,"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=\/wp\/v2\/pages\/78\/revisions"}],"predecessor-version":[{"id":688,"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=\/wp\/v2\/pages\/78\/revisions\/688"}],"wp:attachment":[{"href":"http:\/\/drizzt.home.amu.edu.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=78"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}