Advanced Data Analysis
- Enseignant(s): S.Scheidegger D.Karyampas A.Didisheim
- Titre en français: Analyse de données avancée
- Cours donné en: anglais
- Crédits ECTS: 6 crédits
- Horaire: Semestre de printemps 2022-2023, 4.0h. de cours (moyenne hebdomadaire)
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séances
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site web du cours
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Formations concernées:
Maîtrise universitaire ès Sciences en finance, Orientation finance d'entreprise
Maîtrise universitaire ès Sciences en finance, Orientation gestion des actifs et des risques
Maîtrise universitaire ès Sciences en finance : Entrepreneuriat financier et science des données
Maîtrise universitaire ès Sciences en management, Orientation comportement, économie et évolution
Maîtrise universitaire ès Sciences en management, Orientation stratégie, organisation et leadership
Maîtrise universitaire ès Sciences en management, Orientation business analytics
Maîtrise universitaire ès Sciences en management, Orientation marketing -
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ObjectifsThe objective of this advance data analytics course is to gain practical familiarity with current computer-aided data analysis and machine-learning approaches. We will study methods from a) supervised machine learning (classification and regression) b) unsupervised machine learning c*) reinforcement learning (if time permits) A substantial part of the course will be devoted to learning on how to apply the current implementation frameworks TensorFlow, Keras, and scikit-learn and how to dispatch them on cloud-computing infrastructures by using Python. In addition, we will have visitors from the financial and insurance industry holding guest lectures to demonstrate where these methods are applied in real-world settings.
ContenusThis course will be beginning with basic topics such as classification and linear regression and ending up with more recent topics from Deep Learning. Some of the topics we will cover are:
The hands-on examples will all be in Python. Références
Pré-requis
- For Master students from other universities that want to attend the course: Note that it is only dedicated to HEC master’s students and HEC mobility students (if you need credits; if you just want to follow the materials, there is no such restriction). - For Ph.D. Students from other universities: Please write me an email to see whether you can attend the course for getting credit in your Ph.D. program.
Evaluation1ère tentative
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