Syllabus overview (public)

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Programme Master in Management
Academic Year Academic Year 2020/2021
Module/course Code RX18
Delivery location Paris
Language English
Course type Elective courses 15h
Contact hours 15
ECTS M1 before 2020 2
ECTS M1 from 2020 2.5
Level 5 (year post baccalaureate)
Semester Spring
Module name Introduction to Machine Learning
Field (Discipline) Information and Technology
Academic Department Information & operations Management

Outline


Module/course Summary


This course is reserved for students of the specialization.

The past decade has seen an unprecedented explosion in the amount of data collected by businesses. Commercial enterprises have been quick to recognize the strategic significance of extracting valuable information from these large quantities of data. This class offers a hands-on approach to machine learning and data science. The class discusses the application of machine learning methods like SVMs, Random Forests, Gradient Boosting and neural networks on real world dataset, including data preparation, model selection and evaluation. part from applying models, we will also discuss software development tools and practices relevant to productionizing machine learning models.