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By:
Noah Green
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Decks in this class (67)
Data Science Terminology - assorted topics
Machine learning operations mlops 1,
Machine learning model 2,
Data science 3
60
cards
Data Science Risk Management
Data quality 1,
Model validity 2,
Overfitting 3
10
cards
Machine Learning Lifecycle
Problem definition 1,
Data collection 2,
Data preprocessing 3
10
cards
Machine Learning Operations
Data privacy and security 1,
Model performance 2,
Data drift 3
8
cards
Scientific Methods in Data Science
Problem identification 1,
Data collection 2,
Data cleaning preprocessing 3
8
cards
Data Science Algorithms
Linear regression 1,
Logistic regression 2,
Decision trees 3
20
cards
Support Vector Machine SVM
Definition of svm 1,
Concept of hyperplane 2,
Support vectors 3
8
cards
Long Short-Term Memory (LSTM)
Long short term memory lstm 1,
1 introduction 2,
2 memory cells 3
9
cards
Time-Series MLM
Time series analysis 1,
1 autoregressive integrated movin...,
2 seasonal autoregressive integra...
10
cards
State Space MLM
State space models ssm 1,
1 introduction 2,
2 state variables 3
16
cards
Gaussian Processes MLM
Gaussian processes gp 1,
1 introduction 2,
2 prior over functions 3
10
cards
ARIMA MLM
Autoregressive integrated moving ...,
1 introduction 2,
2 autoregressive component ar 3
10
cards
SARIMA MLM
Seasonal autoregressive integrate...,
1 introduction 2,
2 autoregressive component ar 3
10
cards
Vector AutoRegression MLM
Vector autoregression var 1,
1 introduction 2,
2 components of var 3
10
cards
Holt-Winters MLM
Holt winters aka exponential smoo...,
1 introduction 2,
2 components of holt winters 3
10
cards
XGBoost MLM
Xgboost short for extreme gradien...,
1 introduction 2,
2 gradient boosting 3
11
cards
Gradient Boosting MLM
Gradient boosting 1,
1 introduction 2,
2 iterative approach 3
10
cards
GRU MLM
Gated recurrent unit gru 1,
1 introduction 2,
2 structure 3
9
cards
RNN MLM
Recurrent neural networks rnns 1,
1 introduction 2,
2 structure 3
9
cards
Meta Prophet MLM
Meta s prophet 1,
1 introduction 2,
2 additive regression model 3
10
cards
ETS MLM
Exponential smoothing ets 1,
1 introduction 2,
2 simple exponential smoothing 3
9
cards
PCA MLM
Principal component analysis pca 1,
1 introduction 2,
2 dimensionality reduction 3
9
cards
Q-Learning Network MLM
Q learning 1,
1 introduction 2,
2 action value function 3
9
cards
Deep Q Network MLM
Deep q networks dqn 1,
1 introduction 2,
2 neural networks 3
9
cards
Decision Tree MLM
Decision trees 1,
1 introduction 2,
2 tree structure 3
9
cards
Association MLM
Unnamed 0 1,
Association rule learning 2,
1 introduction 3
10
cards
Hinge Loss
Hinge loss 1,
1 introduction 2,
2 mathematical formulation 3
8
cards
Loss Functions
Loss functions 1,
1 mean squared error mse 2,
2 mean absolute error mae 3
10
cards
Quantile loss
Quantile loss also known as the p...,
1 definition 2,
2 mathematical formulation 3
8
cards
Mean Absolute Error (MAE)
Mean absolute error mae 1,
1 definition 2,
2 mathematical formulation 3
8
cards
Mean Squared Error (MSE)
Mean squared error mse 1,
1 definition 2,
2 mathematical formulation 3
8
cards
Focal Loss
Focal loss 1,
1 class imbalance 2,
2 concept 3
7
cards
Kullback-Leibler (KL) Divergence
Unnamed 0 1,
Kullback leibler kl divergence al...,
1 definition 3
9
cards
SVM Kernel
Kernels 1,
1 definition 2,
2 the kernel trick 3
9
cards
Radial Basis Function (RBF) Kernel
Radial basis function rbf kernel 1,
1 definition 2,
2 mathematical formulation 3
8
cards
Linear Kernel
Linear kernel 1,
1 definition 2,
2 mathematical formulation 3
8
cards
Polynomial Kernel
Polynomial kernel 1,
1 definition 2,
2 mathematical formulation 3
8
cards
Sigmoid Kernel
Sigmoid kernel 1,
1 definition 2,
2 mathematical formulation 3
8
cards
Regularization path algorithms
Regularization path algorithms 1,
1 definition 2,
2 process 3
9
cards
Bayesian Optimization
Unnamed 0 1,
Bayesian optimization 2,
1 definition 3
11
cards
Random Search
Random search 1,
1 definition 2,
2 process 3
10
cards
Grid Search
Grid search 1,
1 definition 2,
2 parameter grid 3
10
cards
Tuning hyperparameters
Tuning hyperparameters 1,
1 grid search 2,
2 random search 3
7
cards
Elastic Net
Elastic net 1,
1 definition 2,
2 mathematical formulation 3
7
cards
L2 Ridge
Unnamed 0 1,
L2 ridge regularization 2,
1 definition 3
9
cards
L1 Lasso
L1 regularization also known as l...,
1 definition 2,
2 mathematical formulation 3
8
cards
Parallelization
Parallelization 1,
1 definition 2,
2 data parallelism 3
9
cards
Cross-validation
Cross validation 1,
1 definition 2,
2 process 3
9
cards
Regularization
Regularization 1,
1 definition 2,
A l1 regularization lasso 3
9
cards
Backpropagation
Backpropagation 1,
1 definition 2,
2 forward propagation 3
9
cards
Variational Autoencoders (VAEs)
Variational autoencoders vaes 1,
1 definition 2,
2 architecture 3
9
cards
Autoencoder
Autoencoders 1,
1 introduction 2,
2 structure 3
11
cards
Non-negative Matrix Factorization (NMF)
Non negative matrix factorization...,
1 definition 2,
2 procedure 3
10
cards
t-Distributed Stochastic Neighbors Embedding (t-SNE)
T distributed stochastic neighbor...,
1 definition 2,
2 principle 3
11
cards
Linear Discriminant Analysis (LDA)
Linear discriminant analysis lda 1,
1 definition 2,
2 goal 3
10
cards
Independent Component Analysis (ICA)
Independent component analysis ica 1,
1 definition 2,
2 principle 3
10
cards
Feature extraction
Feature extraction 1,
1 definition 2,
2 goal 3
11
cards
Feature engineering
Feature engineering 1,
1 definition 2,
2 importance 3
11
cards
model interpretability libraries
Unnamed 0 1,
Model interpretability 2,
1 shap shapley additive explanati...
25
cards
Joblib - Dask
Joblib dask 1,
1 parallel processing 2,
2 efficient serialization 3
16
cards
ELI5
Eli5 explain like i m 5 1,
1 model agnostic interpretability 2,
2 feature importances 3
16
cards
Prompt Engineering
Unnamed 0 1,
1 understanding the task 2,
2 initial prompt design 3
11
cards
SHAP
Unnamed 0 1,
Shap shapley additive explanations 2,
1 shapley values concept 3
17
cards
Mercer's Theorem
Mercer s theorem 1,
1 definition 2,
2 conceptual description 3
7
cards
scikit-learn
Scikit learn 1,
1 consistent api 2,
2 supervised and unsupervised lea...
16
cards
multi-class classification
Unnamed 0 1,
1 definition of multi class class...,
2 examples 3
11
cards
sigmoid function
Unnamed 0 1,
Sigmoid function 2,
2 value range 3
8
cards
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Data Science - from ChatGPT
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