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Machine Learning (Mathematics (Applied (Reading papers, Recreating model…
Machine Learning
Mathematics
Linear algebra
Calculus
Statistics
Applied
Reading papers
Recreating model from paper
Back end engineer
Deployment
Docker
Flask
Kubernetes
Web server
Data pipelines
Machine Learning Engineer
Programming languages
Python
Machine learning frameworks
Tensorflow
Pytorch
Keras
R
Data processing
Model buildiing
Machine learning models
Computer Vision
Convolutional Neural Networks
Tabular data
XG boosted trees
Random forest
Artificial Neural Networks
Linear models
Natural Language Processing
Tokenization
Word vectors
Attention based models
Artificial Neural Networks
Hyperparameter tuning
Activation functions
Dropout
Layer size
Early stopping
AutoML
Overfitting
Transfer Learning
Fine-tuning
Generative models
Generative adverserial networks
Style Transfer
Train / Test / Validation Split
Remove extreme values
Data science