{"product_id":"applied-machine-learning","title":"Machine Learning in Action: Tools, Techniques, \u0026 Industrial Cases","description":"\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eCourse Description \u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003eIn the past decade, we have observed the expeditious evolution and tremendous application of machine learning, such as unmanned vehicles, autonomous language translation, and smart healthcare. This course will introduce the fundamental knowledge of machine learning techniques via a series of hands-on real-world examples in Python. The aim is to provide the students with a good understanding of machine-learning technologies, build machine learning with Python, and apply machine-learning technologies to address real-world problems. In the course projects, students will also have an opportunity to explore cutting-edge machine-learning technologies and develop their machine-learning-based solutions.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e\u003cstrong\u003eNote: Learners will be awarded a course competition certificate from Purdue University.\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eLearning Outcomes\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003eAt the end of this course, you should be able to:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplain the relationship (math mechanisms, internal logic, computing, components, and the usage constraints) of 8 machine learning models (Linear Regression, Logistic Regression, Fully-Connected Neural Network (FCNN), Convolutional Neural Network (CNN), Recurrent Neural Network (Rnn), Autoencoder, general Adversarial Network (GAN), and Reinforcement Learning(RL).\u003c\/li\u003e\n\u003cli\u003eDescribe the common operations in developing machine learning applications.\u003c\/li\u003e\n\u003cli\u003eApply machine learning for manufacturing analytics.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003eThroughout the course, learners will be able to practice what they learned with a hands-on practice activity (ungraded). In the activities, the learners will be asked to program machine learning models with Python via the online platform \u003ca style=\"background-color:transparent;box-sizing:border-box;color:var(--absorb-saphire50-hex);user-select:auto;\" href=\"https:\/\/colab.research.google.com\/\"\u003ehttps:\/\/colab.research.google.com\/\u003c\/a\u003e A tutorial on how to use the online platform has been provided.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e Another tutorial demonstrating how to program a linear regression model has also been provided to enable an easier start for the learners. These activities are ungraded and will not count toward your grade. An example solution will be provided that demonstrates the correct programming.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eCourse Schedule and Duration\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003eBelow is the course schedule. It is recommended that you work through one module per week. The entire course is estimated to take 15 hours to complete.  The certificate is delivered within the Awards tool in the Brightspace course. *Schedule and assignments are subject to change. Any changes will be posted in Brightspace.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eTarget Audience\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003eSales engineers\/business development executives, managers, manufacturing personnel, college students, and anyone interested in learning more about applied machine learning.\u003c\/p\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:white;box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0in;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" id=\"isPasted\"\u003e \u003c\/p\u003e\u003cfigure class=\"table\"\u003e\u003ctable style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);border-collapse:collapse;box-sizing:border-box;color:rgb(65, 65, 65);empty-cells:show;font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;max-width:100%;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" id=\"isPasted\"\u003e\u003ctbody style=\"box-sizing:border-box;\"\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border:1pt solid windowtext;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eModule\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top:1pt solid windowtext;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e\u003cstrong style=\"box-sizing:border-box;\"\u003eTopic \u0026amp; Readings\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e1\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eWhat is Machine Learning\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eWhat is the Insight of Machine Learning\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e2\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eLinear Regression Application\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eLinear Regression Implementation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e3\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eLogistic Regression Formulation and Implementation\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eSolving the Robust Regression Problem\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e4\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eIntroduction of Neural Networks Application\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eFully Connected Neural Network Implementation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e5\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eConvolutional Neural Network Application\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eConvolutional Neural Network Implementation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e6\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eRecurrent Neural Network Application\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eRecurrent Neural Network Implementation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"box-sizing:border-box;\"\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left:1pt solid windowtext;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:103.25pt;\" width=\"138\"\u003e\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003e7\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1pt solid windowtext;border-image:initial;border-left-style:none;border-right:1pt solid windowtext;border-top-style:none;box-sizing:border-box;min-width:5px;padding:0in 5.4pt;user-select:text;vertical-align:top;width:364.25pt;\" width=\"486\"\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eAuto-Encoder Application and Implementation\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eGenerative Adversarial Network Application and Implementation\u003c\/p\u003e\n\u003cp style=\"box-sizing:border-box;line-height:normal;margin-bottom:0in;margin-top:0px;\"\u003eDeep Reinforcement Learning Models Application and Implementation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/figure\u003e\u003cp style=\"-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:border-box;color:rgb(65, 65, 65);font-family:sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:normal;margin-bottom:0px;margin-top:0px;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\"\u003e \u003c\/p\u003e","brand":"Purdue University","offers":[{"title":"Default Title","offer_id":43106835169347,"sku":"18232","price":21300.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/3402\/3747\/files\/800x800_Purdue_AppliedMachineLearning.png?v=1776700948","url":"https:\/\/store-dev2.semi.org\/en-jp\/products\/applied-machine-learning","provider":"SEMI Dev 2","version":"1.0","type":"link"}