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  1. Learn how to use machine learning techniques to solve business problems with Python. This course is for management, economics and finance students who have prior experience with Python and data science libraries.

  2. Hands-on Machine Learning with scikit-learn, Keras, and Tensorflow Teaching method. Students are required to bring own laptops for in-class exercises and quizzes. This course adopts learning-by-doing culture that allows students to implement machine learning pipeline through programming in Python.

  3. Learn with your peers and Data Science Professionals; Understand how to use data to solve some of the world's pressing challenges; Improve your chances to get hired and to connect with business professionals.

  4. Can you develop and implement techniques to improve business processes and production? With these courses, you will. Tackles such issues as business process re-engineering, quality management, improving customer service, inventory systems, managing manufacturing, supply chain management, and project management. Hospitality Operations Management

  5. You will learn different ways to learn about customers (identifying), how to segment them (differentiating), how to approach and communicate with them (interacting) and what the best value propositions are for them (customizing). You'll also learn to evaluate the success of a CRM strategy - key to support decision-making in Marketing.

  6. The Nova SBE Master's in Impact Entrepreneurship & Innovation is a practical learning experience with the right balance between theory and practice. We nurture your human and professional skills so you can embrace your inner potential and leave your mark in the world.

  7. Understand the significant machine learning approaches, including supervised learning and unsupervised learning. Use Python to implement popular machine learning algorithms like linear regression, logistic regression, neural networks, support vector machines, decision trees, and k-means clustering.

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    relacionado con: nova business school machine learning