{"id":142,"date":"2017-07-28T08:53:36","date_gmt":"2017-07-28T08:53:36","guid":{"rendered":"http:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=142"},"modified":"2018-05-23T14:15:39","modified_gmt":"2018-05-23T14:15:39","slug":"ml2017","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/ml2017\/","title":{"rendered":"Aprendizado de M\u00e1quina (2017)"},"content":{"rendered":"<p>&nbsp;<\/p>\n<figure id=\"attachment_144\" aria-describedby=\"caption-attachment-144\" style=\"width: 453px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/computers-ai-robot-robots-technological_advancements-big_data-jcen1519_low.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-144\" src=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/computers-ai-robot-robots-technological_advancements-big_data-jcen1519_low-300x223.jpg\" alt=\"\" width=\"453\" height=\"337\" srcset=\"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/computers-ai-robot-robots-technological_advancements-big_data-jcen1519_low-300x223.jpg 300w, https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/computers-ai-robot-robots-technological_advancements-big_data-jcen1519_low.jpg 400w\" sizes=\"auto, (max-width: 453px) 100vw, 453px\" \/><\/a><figcaption id=\"caption-attachment-144\" class=\"wp-caption-text\">&#8220;Oh no, we&#8217;re not looking for humans to study artificial intelligence &#8211; we&#8217;re machines who want to study humans. Interested?&#8221;<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<h3>Cursos<\/h3>\n<ul>\n<li>Mestrado em Ci\u00eancia da Computa\u00e7\u00e3o<\/li>\n<\/ul>\n<h3>Localiza\u00e7\u00e3o \/ Hor\u00e1rio<\/h3>\n<ul>\n<li>Bloco E, 5o andar, sala E-522<\/li>\n<li>Dia\/hor\u00e1rio: ter\u00e7as-feiras, das 13:25h \u00e0s 17:00h<\/li>\n<\/ul>\n<hr \/>\n<h3>Apresenta\u00e7\u00e3o<\/h3>\n<p>O objetivo desse curso \u00e9 apresentar uma introdu\u00e7\u00e3o aos conceitos, modelos, m\u00e9todos, t\u00e9cnicas e aplica\u00e7\u00f5es do <strong>Aprendizado de M\u00e1quina<\/strong> (<em>Machine Learning<\/em>). O material disponibilizado corresponde a adapta\u00e7\u00f5es dos cursos <a href=\"http:\/\/cs229.stanford.edu\/\">CS229 <\/a>e <a href=\"http:\/\/cs231n.stanford.edu\/\">CS231n<\/a>.<\/p>\n<hr \/>\n<h3>Ementa<\/h3>\n<p>Aprendizado de m\u00e1quina \u00e9 um campo de r\u00e1pido crescimento na fronteira entre ci\u00eancia da computa\u00e7\u00e3o e estat\u00edstica cujo objetivo \u00e9 encontrar padr\u00f5es a partir de dados. Nesta disciplina, estuda-se uma gama de m\u00e9todos (conexionistas, probabil\u00edsticos, baseados em proximidade) que podem ser utilizados em diferentes etapas do processo de extra\u00e7\u00e3o de conhecimento a partir de bases de dados.<\/p>\n<hr \/>\n<h3>Moodle<\/h3>\n<p>Todos os alunos regularmente inscritos ser\u00e3o adicionados \u00e0 disciplina hom\u00f4nima no <a href=\"http:\/\/eic.cefet-rj.br\/moodle\/\">Moodle<\/a>, para que possam receber avisos importantes (dia\/hor\u00e1rio das provas, d\u00favidas gerais, etc). Esse ambiente virtual pode e deve ser usado pelos alunos como f\u00f3rum para discuss\u00e3o.<\/p>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Plano de\u00a0Curso<\/h3>\n<p>Veja a <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-PlanoCurso-2017.2.xlsx\">planilha<\/a> com as datas do plano de curso. Veja tamb\u00e9m o <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/calendario_2017_DIPPG.pdf\">calend\u00e1rio acad\u00eamico das p\u00f3s-gradua\u00e7\u00f5es<\/a> do CEFET\/RJ. Veja ainda a <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/am-complementar\/\">p\u00e1gina<\/a> com material relevante organizado por aula.<\/p>\n<table style=\"border: 1px solid #cccccc;\">\n<tbody>\n<tr>\n<td style=\"border: 1px solid #cccccc;\"><b>Aula<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Data<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Coment\u00e1rio<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Slides<\/b><\/td>\n<td style=\"border: 1px solid #cccccc;\"><b>Leitura\/Tarefa<\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">1<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">29\/ago<\/td>\n<td style=\"border: 1px solid #cccccc;\">Log\u00edstica do curso, plano de aulas.<br \/>\nDefini\u00e7\u00e3o, motiva\u00e7\u00e3o,\u00a0vis\u00e3o geral e exemplos de aplica\u00e7\u00f5es da\u00a0Aprendizagem de M\u00e1quina.<br \/>\nRegress\u00e3o Linear Com uma Vari\u00e1vel<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-00-Apresenta\u00e7\u00e3o-da-Disciplina.pptx\">AM_00<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-01-Vis\u00e3o-geral-do-Aprendizado-de-m\u00e1quina.pptx\">AM_01<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-02-Regress\u00e3o-Linear-com-Uma-Vari\u00e1vel.pptx\">AM_02<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a02<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a005\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Regress\u00e3o linear com v\u00e1rias vari\u00e1veis<br \/>\nRegress\u00e3o log\u00edstica<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-03-Regress\u00e3o-Linear-Multivariada.pptx\">AM_03<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-04-Regress\u00e3o-Log\u00edstica.pptx\">AM_04<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a03<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a012\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Regulariza\u00e7\u00e3o<br \/>\nRefinamento de Algoritmos de Aprendizado de M\u00e1quina<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/09\/AM-05-Regulariza\u00e7\u00e3o.pptx\">AM_05<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/09\/AM-06-Refinamento-de-Algoritmos-de-AM.pptx\">AM_06<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a04<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a019\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Agrupamento (<em>k-means<\/em>)<br \/>\nRedu\u00e7\u00e3o de Dimensionalidade (<em>PCA<\/em>)<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-07-Agrupamento-.pptx\">AM_07<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-08-Redu\u00e7\u00e3o-de-Dimensionalidade.pptx\">AM_08<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a05<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a026\/set<\/td>\n<td style=\"border: 1px solid #cccccc;\">Detec\u00e7\u00e3o de Anomalias<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-09-Detecc\u0327a\u0303o-de-Anomalia.pptx\">AM_09<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a06<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a03\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Sistemas de Recomenda\u00e7\u00e3o<br \/>\nAM &amp; Big Data<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-10-Sistemas-de-Recomenda\u00e7\u00e3o.pptx\">AM_10<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-11-AM-vs-Big-Data.pptx\">AM_11<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a07<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">10\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes Neurais Artificiais &#8211; Representa\u00e7\u00e3o<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-12-Redes-Neurais-representa\u00e7\u00e3o.pptx\">AM_12<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a08<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">17\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes Neurais Artificiais &#8211; Aprendizado<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-13-Redes-Neurais-Aprendizado.pptx\">AM_13<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\"><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a09<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">24\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes Neurais Profundas<br \/>\nIntrodu\u00e7\u00e3o ao Keras<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-14-Aprendizagem-Profunda.pptx\">AM_14<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-15-Redes-Neurais-Keras.pptx\">AM_15<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a0<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/exemplos.txt\">c\u00f3digo<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a010<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">31\/out<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes Convolucionais<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-16-Redes-Convolucionais.pptx\">AM_16<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a0<a href=\"https:\/\/github.com\/fchollet\/keras\/blob\/master\/examples\/mnist_cnn.py\">mnist_cnn.py<\/a><br \/>\n<a href=\"https:\/\/github.com\/fchollet\/keras\/blob\/master\/examples\/cifar10_cnn.py\">cifar10_cnn.py<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a011<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">07\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes Recorrentes<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-17-Redes-Recorrentes.pptx\">AM_17<\/a><\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"https:\/\/github.com\/fchollet\/keras\/blob\/master\/examples\/addition_rnn.py\">\u00a0addition_rnn.py<\/a><br \/>\n<a href=\"https:\/\/iamtrask.github.io\/2015\/11\/15\/anyone-can-code-lstm\/\">anyone<\/a><br \/>\n<a href=\"https:\/\/github.com\/fchollet\/keras\/blob\/master\/examples\/lstm_text_generation.py\">lstm_text_generation.py<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">\u00a012<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\">14\/nov<\/td>\n<td style=\"border: 1px solid #cccccc;\">Redes Autocodificadoras<br \/>\nFechamento\/retrospectiva<\/td>\n<td style=\"border: 1px solid #cccccc; text-align: center;\"><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-18-Redes-Autocodificadoras.pptx\">AM_18<\/a><br \/>\n<a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/AM-19-Considera\u00e7\u00f5es-Finais.pptx\">AM_19<\/a><\/td>\n<td style=\"border: 1px solid #cccccc;\">\u00a0<a href=\"https:\/\/goo.gl\/forms\/rftvgO53kZsNFf1I2\">Formul\u00e1rio de avalia\u00e7\u00e3o do curso<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr size=\"4\" width=\"100%\" \/>\n<h3><del>Listas de Exerc\u00edcios<\/del><\/h3>\n<ul>\n<li><del><a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/CEFET-AM-ListaExercicios01.pdf\">Lista de Exerc\u00edcios 1<\/a>\u00a0&#8211; <span style=\"color: #ff0000; font-size: xx-small;\">Entrega: a definir<\/span><\/del><\/li>\n<li><del><a href=\"listas\/lista2.pdf\">Lista de Exerc\u00edcios 2<\/a> &#8211; <span style=\"color: #ff0000; font-size: xx-small;\">Entrega\u00a0a definir<\/span><\/del><\/li>\n<li><del><a href=\"listas\/lista3.pdf\">Lista de Exerc\u00edcios 3<\/a> &#8211; <span style=\"color: #ff0000; font-size: xx-small;\">Entrega\u00a0a definir<\/span><\/del><\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Trabalhos Pr\u00e1ticos<\/h3>\n<ul>\n<li>Trabalho 1 &#8211; <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-trabalho01.pdf\">enunciado<\/a> e <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-T1-dados.zip\">dados<\/a>.\u00a0<span style=\"color: #ff0000;\">Entrega: 02\/out<\/span>.<\/li>\n<li>Trabalho 2a &#8211; <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-trabalho02.pdf\">enunciado<\/a> e <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-T2-dados.zip\">dados<\/a>. <span style=\"color: #ff0000;\">Entrega: 31\/out<\/span>.<\/li>\n<li>Trabalho 2b &#8211; <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-trabalho02b.pdf\">enunciado<\/a> e <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-T2b-dados.zip\">dados<\/a>. <span style=\"color: #ff0000;\">Entrega: 31\/out<\/span>.<\/li>\n<li>Trabalho 3 &#8211; <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-trabalho03.pdf\">enunciado<\/a> e <a href=\"http:\/\/eic.cefet-rj.br\/~ebezerra\/wp-content\/uploads\/2017\/07\/am-T3-dados.zip\">dados<\/a>. <span style=\"color: #ff0000;\">Entrega: 20\/nov<\/span>.<\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Recursos Externos<\/h3>\n<ul>\n<li>V\u00eddeo: <a href=\"https:\/\/www.youtube.com\/watch?v=iX5V1WpxxkY\">Recurrent Neural Networks, Image Captioning, LSTM<\/a>, Andrej Karpathy.<\/li>\n<li>Curso online: <a href=\"http:\/\/course.fast.ai\">Practical Deep Learning For Coders<\/a><\/li>\n<li>Curso online: <a href=\"https:\/\/www.coursera.org\/learn\/neural-networks-deep-learning\">Neural Networks and Deep Learning<\/a><\/li>\n<li>Curso online: <a href=\"https:\/\/www.codecademy.com\/learn\/learn-python\">(Codecademy) Learn Python<\/a><\/li>\n<li><a href=\"http:\/\/w4nderlu.st\/teaching\/word-embeddings\">Word Embeddings<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=ZSDrM-tuOiA\">Representation Learning for Reading Comprehension<\/a><\/li>\n<li><a href=\"https:\/\/www.oreilly.com\/learning\/generative-adversarial-networks-for-beginners\">Practical Generative Adversarial Networks for Beginners<\/a><\/li>\n<\/ul>\n<hr size=\"4\" width=\"100%\" \/>\n<h3>Livros<\/h3>\n<ul>\n<li>David Poole &amp; . Machine Learning: A Probabilistic Perspective. The MIT Press, Cambridge, MA, 1 edition edition, August 2012.<\/li>\n<li>Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. The MIT Press, Cambridge, MA, 1 edition edition, August 2012.<\/li>\n<li>Peter Flach. Machine Learning: The Art and Science of Algorithms that Make Sense of Data . Cambridge University Press, Cambridge ; New York, 1 edition edition, November 2012.<\/li>\n<li>Christopher Bishop. Pattern Recognition and Machine Learning . Springer, New York, October 2007.<\/li>\n<li>Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An Introduction to Statistical Learning: with Applications in R . Springer, 1st ed. 2013. corr. 4th printing 2014<\/li>\n<li>Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin. Learning From Data . AMLBook, S.l., March 2012.<\/li>\n<li>Brett Lantz. Machine Learning with R . Packt Publishing, Birmingham, October 2013.<\/li>\n<li>Simon O. Haykin. Neural Networks and Learning Machines . Prentice Hall, New York, 3 edition edition, November 2008.<\/li>\n<li>Ani Adhikari &amp; John DeNero,\u00a0<a href=\"http:\/\/artint.info\/\" target=\"_blank\" rel=\"noopener\">Artificial Intelligence: Foundations of Computational Agents, second edition, Cambridge University Press, 2017<\/a><\/li>\n<li>Voc\u00ea pode pesquisar livros relevantes no acervo da <a href=\"http:\/\/biblioteca.cefet-rj.br\/\">Biblioteca do CEFET\/RJ<\/a>.<\/li>\n<\/ul>\n<p>Livros de interesse geral sobre Aprendizado de M\u00e1quina<\/p>\n<ul>\n<li>Nick Bostrom, <a href=\"https:\/\/www.amazon.com\/Superintelligence-Dangers-Strategies-Nick-Bostrom\/dp\/0198739834\">Superintelligence: Paths, Dangers, Strategies<\/a>, 2014.<\/li>\n<li>Pedro Domingos,\u00a0<a href=\"https:\/\/www.amazon.com\/Master-Algorithm-Ultimate-Learning-Machine\/dp\/0465065708\/ref=pd_bxgy_14_img_2?_encoding=UTF8&amp;psc=1&amp;refRID=8ETNCQKT3X406VVJ3JV9\">The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World<\/a>, 2015.<\/li>\n<li>Jimmy Soni &amp; Rob Goodman, <a href=\"http:\/\/www.simonandschuster.com\/books\/A-Mind-at-Play\/Jimmy-Soni\/9781476766683\">A Mind at Play: How Claude Shannon Invented the Information Age<\/a>, 2017.<\/li>\n<\/ul>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; &nbsp; &nbsp; Cursos Mestrado em Ci\u00eancia da Computa\u00e7\u00e3o Localiza\u00e7\u00e3o \/ Hor\u00e1rio Bloco E, 5o andar, sala E-522 Dia\/hor\u00e1rio: ter\u00e7as-feiras, das 13:25h \u00e0s 17:00h Apresenta\u00e7\u00e3o O objetivo desse curso \u00e9 apresentar uma introdu\u00e7\u00e3o aos conceitos, modelos, m\u00e9todos, t\u00e9cnicas e aplica\u00e7\u00f5es do Aprendizado de M\u00e1quina (Machine Learning). O material disponibilizado corresponde a adapta\u00e7\u00f5es dos cursos CS229 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-142","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/comments?post=142"}],"version-history":[{"count":76,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/142\/revisions"}],"predecessor-version":[{"id":769,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/142\/revisions\/769"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}