new practical sessions basics, mnist and chess

Course Support

This course covers a wide range of mathematical tools for AI and science in general.We focus on Linear Algebra, Functional Analysis and Statistics.

• Rappels
• Gradients
• notes de cours du MVA

exercises

Here, you will find extra exercises for the exam:

• exercices supplémentaires (1) some exercises on confusion matrix and CLT.
• exercices supplémentaires (2) these exercises may be useful for the class of physics and in general to push the notions on gradients one step further.
• chain rule deux exercises sur la chain rule.
• exercices corriges supplementaires
• examen like et correction
• more examen-like

QCMs:

Practical Sessions

First, we need to install wget.

Install wget on Windows

google is your friend not me :)

Install wget on Linux

{{< highlight html >}} apt-get install wget {{< /highlight >}}

Install wget on MacOS

First, we need to install homebrew {{< highlight html >}} /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" {{< /highlight >}} Then use brew to install wget on your mac. {{< highlight html >}} brew install wget {{< /highlight >}}

Notebooks

Notebooks contain a small set of exercices to practice the different notions sutided in class. If you find any mistake please mail me.

{{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/notebooks/algèbre.ipynb wget https://edouardyvinec.netlify.app/centrale/notebooks/Classification.ipynb wget https://edouardyvinec.netlify.app/centrale/notebooks/EDO.ipynb wget https://edouardyvinec.netlify.app/centrale/notebooks/Fonctions_de_plusieurs_variables.ipynb wget https://edouardyvinec.netlify.app/centrale/notebooks/Probabilités.ipynb wget https://edouardyvinec.netlify.app/centrale/notebooks/TCL.ipynb wget https://edouardyvinec.netlify.app/centrale/notebooks/tests_d'hypothèses.ipynb {{< /highlight >}}

TP - Epidemic Modelisation

The base files for the TP are: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/exercice.py wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/exercice_initial.py {{< /highlight >}} To visualize the expected results: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/SIR.png wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/SIRVD.png wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/SIRVDV.png {{< /highlight >}} Download the solution: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/main.py wget https://edouardyvinec.netlify.app/centrale/tp/epidemic/initial.py {{< /highlight >}}

TP - Solar System

The base files for the TP are: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/animate.py wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/clear.py wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/data.py wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/main.py wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/solarsystem_exercice.py wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/utils.py {{< /highlight >}} To visualize the expected results: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/minisolar/minisolar.gif wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/solar/solar.gif {{< /highlight >}} To convert a sequence of images to a gif: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/gif/convertor.py {{< /highlight >}} Download the solution: to come {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/solar_system/solarsystem_sol.py {{< /highlight >}}

TP - Real Estate

The base files for the TP are: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/real_estate/housing.csv wget https://edouardyvinec.netlify.app/centrale/tp/real_estate/main.py wget https://edouardyvinec.netlify.app/centrale/tp/real_estate/neural_network_exercice.py wget https://edouardyvinec.netlify.app/centrale/tp/real_estate/read_data.py {{< /highlight >}} Download the solution: to come

TP - Gaussian Mixture Model

The base files for the TP are: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/mixture_of_gaussians/main.py wget https://edouardyvinec.netlify.app/centrale/tp/mixture_of_gaussians/ME_exercice_initial.py wget https://edouardyvinec.netlify.app/centrale/tp/mixture_of_gaussians/data.py {{< /highlight >}} To visualize the expected results: {{< highlight html >}} wget https://edouardyvinec.netlify.app/centrale/tp/mixture_of_gaussians/dataset.png {{< /highlight >}} Download the solution: to come