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This course provides a comprehensive introduction to the field of Artificial Intelligence (AI). Students will explore the fundamental concepts, techniques, and applications of AI, including machine learning, neural networks, natural language processing, and computer vision. The course emphasizes hands-on learning and real-world applications, preparing students to understand and implement AI technologies.
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Supervised vs. Unsupervised Learning Common Algorithms (e.g., Linear Regression, Decision Trees) Practical Applications of Machine Learning
Deep Learning Concepts Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Hands-on Projects with Neural Networks
Text Processing and Analysis Sentiment Analysis Language Models and Transformers Applications of NLP
Image Processing Techniques Object Detection and Recognition Applications in Healthcare, Automotive, and More
Tourism and Technology Instructor
Biography: Laura García is a dynamic and innovative educator with a passion for integrating technology into the tourism industry. With over 12 years of experience in both fields, Laura has worked on numerous projects that bridge the gap between tourism and technological advancements. Her teaching philosophy emphasizes practical application and the use of cutting-edge technology to enhance the learning experience and prepare students for the future of the tourism industry.
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Personal Message: “My goal as an instructor is to empower students with the knowledge and skills they need to thrive in the evolving tourism industry. By integrating technology into our curriculum, we can create innovative solutions and unforgettable experiences for travelers. Let’s explore the future of tourism together"
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