SEMIT 2022-SEP

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btn-border text-white btn-sm text-nowrap overflow-hidden"><i class="bi bi-calendar4-week fa-lg"></i>   08-09 September 2022</button> </div> <div class="col-md-6 col-sm-6 col-6 contact-info d-flex align-items-center justify-content-end text-nowrap overflow-hidden"> <i class="bi d-flex align-items-center text-nowrap"><a href="./contacts?_action=login" class="btn btn-sm"><i class="fa-regular fa-circle-user me-2"></i>Login</a></i> <i class="bi d-flex align-items-center text-nowrap"><a href="./contacts?_action=signup" class="btn btn-sm"> Register</a></i> </div> </div> </div> </section>  <header id="header" class="d-flex align-items-center"> <div class="container d-flex align-items-center justify-content-between"> <h1 class="logo"><a href="./" ><img class="logo" src="" onerror="this.style.display='none'" ></a></h1>  <nav id="navbar" class="navbar"> <ul> <li id="li_home" ><a class="nav-link scrollto" href="././">Home </a> </li> <li id="li_info" class="dropdown"><a class="nav-link scrollto" 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style="text-align: center;"><span style="font-size: large; background-color: #f0ffff;"><em><strong><span style="color: #000000; font-family: 'times new roman', times;">Considering the disaster, Machine Learning workshop will be postponed to March 13-14, 2023.</span></strong></em></span></p> <p style="text-align: center;"> </p> <p style="text-align: center;"><span style="color: #0000ff;"><em><strong><span style="font-family: 'times new roman', times; font-size: xx-large;">Machine Learning: Select and Implement</span></strong></em></span></p> <p style="text-align: center;"> </p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;">Machine learning is the science of programming machines to perform human tasks without being explicitly programmed. Email spam recognition, spelling checkers and platforms video recommenders are commonly encountered machine learning applications that we are exploring in our everyday life. In this workshop, two learning objectives are targeted. First, acquiring practical implementation of machine learning algorithms  using Python. Second, the key criteria to help to select adequate machine learning algorithm given a particular case study.</span></p> <p style="text-align: center;"> </p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;">For the purpose of the first objective, a comprehensive review of algorithms covering major machine learning models is provided. Afterwards, specified labs are  animated using python. We propose the Simple Linear regression, the Multiple Linear regression and the Logistic regression to deal with the regression models. The Decision Tree, the  Random Forest and  the  Naïve  Bayes for classification models; and the K-means, the Nearest Neighbors (NN) and  the Support Vector Machine (SVM) for the clustering ones.</span></p> <p style="text-align: center;"> </p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;">To accomplish the second objective, we will introduce some popular use cases of Machine Learning and go through  Machine Learning interview questions to assess practical market expectations.</span></p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;"><br /></span></p> <p style="text-align: justify;"><span style="color: #0000ff; font-size: large;"><em><strong><span style="font-family: 'times new roman', times;">Lecturers</span></strong></em></span></p> <table border="0" cellspacing="0" cellpadding="0"> <tbody> <tr> <td valign="top" width="395"> </td> <td valign="top" width="395"> <p>  </p> <p style="text-align: center;">  <img style="text-align: center;" src="data/cnf1620843297/uploads/Prof.%20Layeb.jpg" alt="" width="171" height="214" /></p> </td> <td valign="top" width="453">  </td> <td valign="top" width="453"> <p> </p> <p style="text-align: center;"> <img style="text-align: center;" src="data/cnf1620843297/uploads/marwa%20hasni.jpg" alt="" width="171" height="217" /></p> </td> <td valign="top" width="453"> </td> </tr> <tr> <td valign="top" width="395"> <p style="text-align: center;"> </p> </td> <td valign="top" width="395"> <p style="text-align: center;"><span style="font-family: 'times new roman', times; font-size: medium;"><strong>Prof. Safa Bhar Layeb</strong></span></p> <p style="text-align: center;"><span style="font-family: 'times new roman', times; font-size: medium;">LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar,  Tunis, Tunisia</span></p> </td> <td valign="top" width="453"> </td> <td valign="top" width="453"> <p style="text-align: center;"> <strong><span style="font-family: 'times new roman', times; font-size: medium;">Dr. Marwa Hasni</span></strong></p> <p style="text-align: center;"><span style="font-family: 'times new roman', times; font-size: medium;">LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunisia</span></p> </td> <td valign="top" width="453"> <p style="text-align: center;"> </p> </td> </tr> </tbody> </table> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;"><br /></span></p> <p style="text-align: center;"> </p> <p><strong><em><span style="font-family: 'times new roman', times; font-size: medium; color: #0000ff;">Lecturers Short Bio</span></em></strong></p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;"><strong>Safa Bhar  Layeb</strong> is a professor of industrial engineering and a member of the OASIS Lab at the National Engineering School of Tunis, Tunisia. She is Polytechnic Engineer and has obtained her Master’s in Mathematical Engineering,   PhD in  Applied Mathematics, and HDR in Industrial Engineering. She is the founding chair of the African Working Group in Health Systems, affiliated with the African Federation of Operational Research Societies (AFROS). She is  particularly interested in data science and industrial engineering approaches and their applications in network design, logistics and  healthcare.</span></p> <p> </p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times; font-size: medium;"><strong>Marwa  Hasni</strong>  is Assistant professor in Industrial Engineering at ISSIG Gabes – University of Gabes. She holds a PhD  in Industrial Engineering from Ecole Nationale d'Ingénieurs deTunis - University of Tunis El Manar and member of the Laboratory of Economics and Applied Finance (LEFA) since 2021. She also holds a diploma of Engineer in Industrial Engineering and Logistics of the National Engineering School of Carthage-University of Carthage. Her research focuses on the development and the analysis of forecasting techniques applied to production systems and to financial and banking systems. The interest being non-parametric sampling techniques and those associated with the Machine learning and deep learning approaches. Marwa Hasni has published and reviewed a number of research studies on the side of several international journals namely: International Journal of Production Economics, International Journal of Production Research, International Journal of Decision Sciences, Risk and Management, Managerial and Decision Economics, International Journal of Economics, and  Strategic Management of Business Processes.</span></p> <p><span style="font-family: 'times new roman', times; font-size: medium;"><br /></span></p> <p><span style="font-size: large;"><strong><span style="color: #0000ff;"><em><span style="font-family: 'times new roman', times;">Workshop sessions and links</span></em></span></strong></span></p> <p> </p> <p><span style="font-family: 'times new roman', times; font-size: medium;">Machine Learning workshop will be held in 4 sessions as below detailed: </span></p> <p><em><strong><span style="font-family: 'times new roman', times; font-size: medium;">All SEMIT programs are scheduled based on Ankara time zone (GMT +3)</span></strong></em></p> <p> </p> <p><span style="font-family: 'times new roman', times; font-size: medium;">Session 1: (13.03.2023, 9-12) <a href="https://us02web.zoom.us/j/84385292574" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://us02web.zoom.us/j/84385292574&source=gmail&ust=1678514104783000&usg=AOvVaw2FkrOJIhsV5YQXfqasXhwj">https://us02web.zoom.us/j/84385292574</a></span></p> <p><span style="font-family: 'times new roman', times; font-size: medium;">Session 2: (13.03.2023, 14-17)  <span lang="TR"><a href="https://us02web.zoom.us/j/83716718958" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://us02web.zoom.us/j/83716718958&source=gmail&ust=1678514104783000&usg=AOvVaw1GWcAtc9cbp1pXpVESES4N">https://us02web.zoom.us/j/83716718958</a></span></span></p> <p><span style="font-family: 'times new roman', times; font-size: medium;">Session 3: (14.03.2023, 9-12) <a href="https://us02web.zoom.us/j/84801411994" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://us02web.zoom.us/j/84801411994&source=gmail&ust=1678514104783000&usg=AOvVaw3qAa-68PmBXJHCKhTHOjAr">https://us02web.zoom.us/j/84801411994</a></span></p> <p><span style="font-family: 'times new roman', times; font-size: medium;">Session 4: (14.03.2023, 14-17) <a href="https://us02web.zoom.us/j/83158579948" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://us02web.zoom.us/j/83158579948&source=gmail&ust=1678514104783000&usg=AOvVaw0tnrvQnqwJllHcJX0TeBff">https://us02web.zoom.us/j/83158579948</a></span></p> <p><span style="font-size: large;"><strong><span style="color: #0000ff;"><em><span style="font-family: 'times new roman', times;"><br /></span></em></span></strong></span></p> <p><span style="font-family: 'times new roman', times; font-size: large; color: #0000ff;"> <strong><em>Workshop time table</em></strong></span></p> <div><span><br /></span></div> <p style="text-align: center;"><strong><span style="font-family: 'times new roman', times; font-size: xx-large;"><img src="data/cnf1620843297/uploads/workshop%20time%20table.jpg" alt="Time Table" width="949" height="800" /></span></strong></p> <div id="gtx-anchor" style="position: absolute; visibility: hidden; left: 8px; 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SEMIT 2022-SEP