Материалы курса "Машинное обучение на больших данных 2022"

Name		Name	Last commit message	Last commit date
data		data
tensorflowjs		tensorflowjs
yandex-cloud-terraform		yandex-cloud-terraform
.DS_Store		.DS_Store
.gitignore		.gitignore
01. Cloud.ipynb		01. Cloud.ipynb
02. Mastering bash.ipynb		02. Mastering bash.ipynb
03. Hadoop. MapReduce.ipynb		03. Hadoop. MapReduce.ipynb
04. Spark.ipynb		04. Spark.ipynb
05. Advansed Spark.ipynb		05. Advansed Spark.ipynb
06. Classical models. Wide data.ipynb		06. Classical models. Wide data.ipynb
07. Distributed training.ipynb		07. Distributed training.ipynb
08. Optimize NN.ipynb		08. Optimize NN.ipynb
09. Efficient NN & Distributed training.ipynb		09. Efficient NN & Distributed training.ipynb
10. Streaming algorithms.ipynb		10. Streaming algorithms.ipynb
11. KNN search.ipynb		11. KNN search.ipynb
MHW 3. Classical models.ipynb		MHW 3. Classical models.ipynb
MHW1. Bash & Cloud.ipynb		MHW1. Bash & Cloud.ipynb
MHW2. Hadoop.ipynb		MHW2. Hadoop.ipynb
Main Homework. Outbrain.ipynb		Main Homework. Outbrain.ipynb
README.md		README.md
start.sh		start.sh

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