This course offers an immersive introduction to machine learning, covering fundamental concepts, various regression models, classification, overfitting, and practical application through labs and quizzes.
About Me
Some information to get to know me
👋 Hi! I'm Théo Gachet, a
I'm a Double MSc student currently working at the European Space Agency (ESA) where I develop cutting-edge Machine Learning for the Mars rovers, tackling the unique challenges of interplanetary travel within our Solar System. My passion for computer science and mathematics drives me to unlock the mysteries of intelligence and make it accessible to everyone, connecting the world and expanding the frontiers of Space Exploration.
- MSc in Machine Learning
- Canada, UK, USA, France
- Polytechnique Montréal
- +33 6 95 07 10 13
- theo.gachet.pro@outlook.fr
- Volleyball, aviation, martial arts
- @theo-gachet
- @TheoGachet
- Mines de Saint-Etienne Lycée Saint-Louis, Paris
- MSc in Computer Science BSc in Mathematics and Physics
Languages
I have always been drawn towards the fulfillment that comes from overcoming challenges. This insatiable curiosity has not only led me to delve deeply into the realms of computer science and mathematics, but also motivated me to learn six languages. For me, this journey is more than just a linguistic achievement, it is about embracing diversity, understanding different cultures, and fostering global connections around the world.
Experience
See more details in my resume-
Implemented uncertainty quantification and image segmentation methods to enable rovers to navigate autonomously on Mars and choose the optimal path.
Available soon
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Optimized the effectiveness of Natural Language Processing by implementing Transformers and attention mechanisms inspired by human cognition.
Available soon
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In-depth study of immersive technologies (VR, AR, MR) on their functional principles and future applications in the fields of defense, security and civilian use.
Available soon
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Uncertainty quantification in Convolutional NN. Reduction of epistemic and aleatoric uncertainties using Ensemble techniques and Bayesian methods.
Available soon
Certificates
I'm curious and continuously learningEducation
See more details in my resume-
Master's Degree
in Machine Learning
Since September, I attend advanced Machine Learning courses, dedicating myself to the development of a Master's thesis in collaboration with ESA, establishing a foundation for PhD research endeavors.
Available soon
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Master's Degree
in Computer Science
GPA : 4.0 / 4.0
Ranked as one of the top graduate schools of engineering in France, Mines de Saint-Étienne is one of the French "Grandes Écoles" and is dedicated to training highly qualified engineersElectronics and Computing Machine Learning
Object-Oriented Programming
Processor Architecture
Algorithms and Programming
Databases
Python Optimisation Challenge
Graphs and Optimisation
Network Computing and Security
Operating System Programming
Analogue Electronics
Digital Electronics
Microcontroller Systems
Electronic Systems
MCSE MethodBusiness and Management Financial and Production Strategy
Business Strategy and Organisation
Project Management
Intellectual Property and Innovation
Business Culture and Management MethodsEngineering and Design Robotics Project
UML Modelling
Matlab Project - Application to Robotics
System Design
Interface Design
Fundamental Electronics
Analog Electronics
Design of a Digital System
Linear Automatics
Prototyping ProjectMathematics, Sciences, and Engineering Techniques Signal Mathematics
Probabilities
Cryptography
Signal Processing
Laboratory Experiments
Applied Physics
Material Properties
Life Sciences
Automatic Control and Servomechanisms
Sensors and Actuators
Energy Management
Wireless Communication Solutions in IoT
Finite ElementsSoft Skills and Professional Development Sustainable Development
Collective Intelligence and Agile methods
Relational Development, Health at Work
Social Integration Project
Development of Relational Skills
Documentary Research
TeamworkLanguage and Culture Languages (English, Chinese)
Feedback from Experience: Internship Report
Technical Internship in The Netherlands
Intercultural Astonishment Report -
Training Course
in Cybersecurity
In-depth study of cybersecurity challenges and risk mitigation strategies in the space industry, including the management of operational risks and acquiring experience in safeguarding space systems.
Day 1 Welcome and Introduction
ESA & ESA Education Programme
Security Primer
Introduction to Cyber-Security
Cyber-Security Risk Management for Space SystemsDay 2 Meet the Adversary
Applied Cyber-Security Risk Management
Introduction to Security Architecture and Design
Cyber-Security ResourcesDay 3 Adversaries Tactics, Techniques, and Mitigations for Space
A 101-Introduction to Applied Cryptography
CCSDS Space Protocols
Security on CCSDS
Hands-On Exercises on the Security of Space Communication ProtocolsDay 4 RF Communications Introduction
RF Communications Applied to Space Systems
RF Attacks and Jamming to Space Systems and Mitigations
RF Technologies and Software Defined Radio
Hands-On Exercises on Software Defined RadioDay 5 Visit of the ESEC-Redu site
SCCoE Tour and demonstration
CSOC Tour and Demonstration
Group Projects Presentations -
BSc. Degree
in Mathematics
GPA : 4.0 / 4.0
Intensive two year cursus in mathematics preparing for the competitive exams to enter the very selective and prestigious French engineering schools known as "Grandes Écoles".Available soon
Portfolio
Check out my latest projects (last updated in 2023)My Conferences
Here are the lectures I give to other students at my engineering school-
COURSE 1
Supervised
Machine Learning
3 weeks -
COURSE 2
Advanced
Learning Algorithms
4 weeks This course introduces neural networks, their training, practical application in machine learning problems, followed by detailed guidance on decision trees but also tree ensembles.
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COURSE 3
Reinforcement and Unsupervised Learning
3 weeks This course delves into unsupervised learning with clustering and anomaly detection. It explores recommender systems through collaborative and content-based filtering, and concludes with reinforcement learning.
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0+
Projects Completed -
0/4 GPA
every year of engineering school -
0/990
TOEIC Score -
0%
Machine Learning Specialization
Contact
Get in touch with me
- theo.gachet.pro@outlook.fr
- +33 6 95 07 10 13
- Canada, UK, USA, France
- theogachet.com
- @TheoGachet
- @theo-gachet