Number of hours
- Lectures 7.5
- Projects -
- Tutorials 7.5
- Internship -
- Laboratory works 6.0
- Written tests 2.0
ECTS
ECTS 3.0
Goal(s)
This course aims to provide an understanding of data analysis, machine learning, neural networks, advanced deep learning and Large Language Models (LLM). Students will learn to master essential Python tools and apply this knowledge through independent practical work. The aim is to enable students to perform exploratory analyses, implement machine learning and deep learning models, and integrate LLMs to solve specific problems.
Responsible(s)
Content(s)
- Data analysis
- Machine learning
- Neural networks
- Deep learning
- LLM
- Probability courses
- Statistics course
- Computer courses with Python
Test
CC = Tests during the semester
E1 = Final Exam, two-hour
N1 = Course grade
Calendar
The course exists in the following branches:
- Curriculum - Engineer IPID apprentice program - Semester 7
Additional Information
Course ID : 4GMA1625
Course language(s):
You can find this course among all other courses.
Bibliography
- Livres et Articles :
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" par Aurélien Géron.
- "Deep Learning" par Ian Goodfellow, Yoshua Bengio, et Aaron Courville.
- Cours en Ligne :
- Cours de deep learning par Andrew Ng sur Coursera.
- Tutoriels et documentation officielle de PyTorch et Hugging Face Transformers.
French State controlled diploma conferring a Master's degree
Common Core presentation
Programme courses S5
Programme courses S6
Supply Chain Management
Programme presentation
Programme courses S7
Programme courses S8
Programme courses S9
Programme courses S10
Product Design
Programme presentation
Programme courses S7
Programme courses S8
Programme courses S9
Programme courses S10
Contacts
Academic staff
- Head of studies:
Pierre Lemaire - Head of 1st Year Program:
Abdourahim Sylla - Head of Supply Chain Management Program:
Irène Gannaz - Head of Product design Program:
Guillaume Thomann
Registrar's office
- Head of Registrar's office:
genie-industriel.scolarite@grenoble-inp.fr - Secretary's office 1st Year:
Valérie Demicheli - Secretary's office 2nd Year:
Sylvie Malandrino - Secretary's office 3rd Year:
Vincente Odier - International relations department:
Nadia Dehemchi