Machine Learning in Science and Industry

An ultimate four days session to dive into machine learning. Theory and practice packed together.

Course focuses

Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
data		data
.gitignore		.gitignore
0.1-intro-to-python.ipynb		0.1-intro-to-python.ipynb
0.2-intro-to-numpy.ipynb		0.2-intro-to-numpy.ipynb
1-linear-models.ipynb		1-linear-models.ipynb
2.1-trees.ipynb		2.1-trees.ipynb
2.2-ensembling.ipynb		2.2-ensembling.ipynb
3-factorization-machine-simple-NN.ipynb		3-factorization-machine-simple-NN.ipynb
4-NNs-and-images.ipynb		4-NNs-and-images.ipynb
Dockerfile		Dockerfile
Lecture1-GradDays.pdf		Lecture1-GradDays.pdf
Lecture2-GradDays.pdf		Lecture2-GradDays.pdf
Lecture3-GradDays.pdf		Lecture3-GradDays.pdf
Lecture4-GradDays.pdf		Lecture4-GradDays.pdf
README.md		README.md
utils.py		utils.py