{"id":275,"date":"2016-11-16T07:21:03","date_gmt":"2016-11-16T07:21:03","guid":{"rendered":"https:\/\/raratheme.com\/preview\/education-zone\/?p=275"},"modified":"2024-05-29T22:42:29","modified_gmt":"2024-05-29T19:42:29","slug":"hospitality","status":"publish","type":"post","link":"https:\/\/ijcoeit.htu.edu.jo\/?p=275","title":{"rendered":"Machine Learning"},"content":{"rendered":"\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button is-style-outline\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/forms.gle\/rxW73V4uuNt8WSFh8\">Register Now<\/a><\/div>\n<\/div>\n\n\n<p>\u00a0<\/p>\n<p><strong>Course<\/strong>: Certificate Course in Machine Learning (basic to intermediate Level)<\/p>\n<p><strong>Organized at India Jordan Center of Excellence in Information Technology (IJCoEIT) and endorsed by INT@J<\/strong><\/p>\n<p>\u00a0<\/p>\n<p><strong>Course Overview<\/strong><\/p>\n<ul>\n<li>To master the fundamentals of writing Python scripts, Data Types, Variables, Operators, Input\/output, variables, data types, Flow of Control, looping, Lists, Dictionaries, sets, functions, and classes.<\/li>\n<li>Describe the various types of Machine Learning algorithms and when to use them.<\/li>\n<li>Learn Mathematics of Linear Algebra, Matrices, and statistics for Data Science and Machine Learning.<\/li>\n<li>Understand the full product workflow for the machine learning lifecycle.<\/li>\n<\/ul>\n<ul>\n<li>Learn to how pre-process data, clean data, analyze your own data sets and gain insights through data science.<\/li>\n<li>Feature engineering techniques, including imputation, outliers, binning, and normalization<\/li>\n<li>Explore large datasets using data visualization tools like Matplotlib and Seaborn.<\/li>\n<li>Learn how to use Scikit-learn to apply powerful machine learning algorithms.<\/li>\n<li>Learn which Machine Learning model to choose for each type of problem.<\/li>\n<li>Implement, evaluating and improving Machine Learning models [Supervised and unsupervised].<\/li>\n<li>Use train\/test and K-Fold cross validation to choose and tune your model.<\/li>\n<li>Learn best practices for real-world data sets.<\/li>\n<li>Get complete understanding of deep learning using Keras and Tensorflow.<\/li>\n<\/ul>\n<ul>\n<li>Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications.<\/li>\n<\/ul>\n<ul>\n<li>Understand convolution and why it&#8217;s useful for Deep Learning<\/li>\n<li>Understand and explain the architecture of a convolutional neural network (CNN)<\/li>\n<li>Implement a CNN in TensorFlow 2.<\/li>\n<li>Apply CNNs to for Image classification tasks.<\/li>\n<\/ul>\n<p><strong>Career preparation<\/strong><\/p>\n<p>Accepted students will gain an access to e \u2013 content designed by C-DAC. also extra material that are prepared by the instructor will be shared.<\/p>\n<p>By the end of the Certificate Course in Machine learning the students will gain practical, hands-on experience preparing them for a career as a machine learning engineer, data scientist using python, data analyst, machine learning researcher, and machine learning specialist.<\/p>\n<p>After successfully completing this course, certified students will have an opportunity for a job interview for employment in one of the local related companies.<\/p>\n<p><strong>Learning components<\/strong><\/p>\n<ul>\n<li>Class topics:<\/li>\n<\/ul>\n<ol>\n<li>Programming using python.<\/li>\n<li>Mathematics of Linear Algebra, Matrices, and statistics for Data Science and Machine Learning.<\/li>\n<li>Feature engineering.<\/li>\n<li>Exploratory data analysis\u00a0(EDA).<\/li>\n<li>Machine learning.<\/li>\n<li>Tensor flow.<\/li>\n<li>Deep learning and convolutional neural network<\/li>\n<\/ol>\n<ul>\n<li>Hands-on labs, exercises, and quizzes to reinforce learning.<\/li>\n<li>Exams to measure learning outcomes.<\/li>\n<\/ul>\n<p><strong>Course Eligibility<\/strong><\/p>\n<ul>\n<li>A Candidate at least must be a bachelor&#8217;s degree holder in the computing field or any other relevant discipline.<\/li>\n<li>A candidate can be in their last year of study.<\/li>\n<li>Candidates must have a minimum GPA of 60% in BSc.<\/li>\n<\/ul>\n<p><strong>Number of seats<\/strong>: 20<\/p>\n<p><strong>Selection criteria<\/strong><\/p>\n<ul>\n<li>Candidates who have scored above 90% GPA are given priority.<\/li>\n<li>Candidates who have python programming knowledge are given priority.<\/li>\n<li>Candidates who work on jupyter notebook, google-colab ,and kaggle are given priority.<\/li>\n<\/ul>\n<p><strong>Start and End Date<\/strong>: 6<sup>th<\/sup> of July to 5<sup>th<\/sup> of October 2024 (every Saturday (10:30 \u2013 16:30), Monday (17:30 \u2013 20:30) and <strong><u>Wednesday (17:30 \u2013 20:30).<\/u><\/strong><\/p>\n<p><strong>Fees: 500 JD<\/strong><\/p>\n<p><strong>ABOUT THE INSTRUCTOR ( ENG MO\u2019TASEM SAMMARA)<\/strong><\/p>\n<p>Mo\u2019tasem Samara is a seasoned computer engineer with 15+ experience, holds a master\u2019s degree in computer engineering \/embedded systems from Yarmouk university.<\/p>\n<p>He is an assistant instructor at computer and information college at Jordan University of science and technology (JUST).<\/p>\n<p>In his current role, Mo\u2019tasem taught a variety of courses such as scripting languages, digital logic design, object-oriented software analysis and design, microprocessor systems, software design and development project, artificial intelligence, and more.<\/p>\n<p>He is a master trainer in machine learning certified from Center for Development of Advance Computing (C-DAC) India.<\/p>\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button is-style-outline\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/forms.gle\/rxW73V4uuNt8WSFh8\">Register Now<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0 Course: Certificate Course in Machine Learning (basic to intermediate Level) Organized at India Jordan Center of Excellence in Information &hellip; <\/p>\n","protected":false},"author":1,"featured_media":624,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/posts\/275"}],"collection":[{"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=275"}],"version-history":[{"count":5,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/posts\/275\/revisions"}],"predecessor-version":[{"id":727,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/posts\/275\/revisions\/727"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=\/wp\/v2\/media\/624"}],"wp:attachment":[{"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ijcoeit.htu.edu.jo\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}