Zzong's Notes

Home

❯

machine_learning

223개의 글

deep_learning
generative_ai
metrics
- machine_learning
- metrics
NLP
optimization
ablation study
- machine_learning
activation function
- machine_learning
- deep_learning
AdaBoost
- ensemble
Adam
- optimization
- deep_learning
adversarial learning
- recommendation_system
- bias
ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
- NLP BERT
Alpaca
anomaly detection
- machine_learning
Area Under Curve
AWQ
- quantization
backpropagation
bagging
- machine_learning
- ensemble
Batch Decoding
- LLM
Batch Gradient Descent
- optimization
Bayes classifier
- machine_learning
- statistic
Bayesian network
- PGM
Bayesian Optimization
bias
- machine_learning
- statistic
bias correction
- optimization
Bias-variance tradeoff
binary logistic regression
boosting
- ensemble
bootstrapping
box-cox transformation
- feature_engineering
catastrophic forgetting
CatBoost
- GBM
- ensemble
categorical feature
- classification feature_engineering
category feature
- feature_engineering
challenges of linear regression
- linear_regression
channel(LLM)
chunked prefill
- vllm
class imbalance problem
- classification
classification
- classification
CLIP
clustering
- machine_learning
- clustering
computational graph
- machine_learning
contrastive learning
convolution
cost function
covariate shift
- machine_learning
cross-entropy
cross-validation
- machine_learning
CTR prediction
- deep_learning
- machine_learning
Data Augmentation
- machine_learning
- deep_learning
Data Bias
- bias recommendation_system machine_learning
Decision boundary
- machine_learning
- classification
Decision Tree
deep Learning
dimension reduction
- feature_engineering
distortion
- machine_learning
- clustering
downsampling
- machine_learning
dropout
- deep_learning
Eager Learning
- machine_learning
Early Stopping
- machine_learning
elastic net
- linear_regression
- machine_learning
Elbow Method
- clustering
EM algorithm
empirical risk minimization
ensemble
- machine_learning
- recommendation_system
Extreme Gradient Boosting
- ensemble
feature crosses
- feature_engineering
feature engineering
- feature_engineering
feature selection
- machine_learning feature_engineering
fine tuning
- deep_learning machine_learning
Fully Sharded Data Parallel
- huggingface
- accelerate
Gaussian Error Linear Units
- activation_function
GBM comparison
- machine_learning
- tabular
General Language Understanding Evaluation
- NLP
Generalized Linear Model
- linear_regression
- machine_learning
Generate Image from AI
generative model
gradient
- calculus
- differentitation
Gradient Boosting Machine
- ensemble
- machine_learning
gradient checkpoint
gradient descent
Grid Search
- machine_learning
- hyperparameter_optimization
Hallucination
- LLM
hard negative
- machine_learning
hashing trick
- machine_learning
- feature_engineering
Hierarchical Clustering
- machine_learning
- clustering
hinge loss
- machine_learning
- classification
Huber Loss
hyperparameter
- machine_learning
Hyperparameter Optimization
Hyperparameter tuning(GBM)
- GBM
Inductive
- machine_learning
Initializing Weights
- machine_learning
Interview Questions
irreducible error
- machine_learning linear_regression
Isotonic Regression
- linear_regression
joint training
- machine_learning
- recommendation_system
K-means
- machine_learning
- clustering
k-Nearest Neighbors
K-prototype
- clustering
- machine_learning
KL annealing
- optimization
knowledge distillation
- machine_learning
KoRean based Bert pre-trained
- NLP y2020
korean nlp model
- NLP
KSS
- self_dev
Label Encoding
- word2vec encoding
label smoothing
- machine_learning
LambdaRank
- learning_to_rank
large parquet dataset을 위한 PyTorch dataset 및 dataloader 튜닝 일기
lasso regression
- linear_regression
- machine_learning
latent variable
- machine_learning variable
layer normalization
- deep_learning machine_learning
Lazy learning
- machine_learning
Leaky ReLU Function
- activation_function
Learning-to-Rank
- learning_to_rank
- machine_learning
least squares estimation
leave-one-out
- machine_learning offline_evaluation
LightGBM
- GBM
linear probing
- deep_learning
linear regression
- machine_learning
link function
- activation_function
logistic loss
- machine_learning
logistic regression
- classification
- machine_learning
logit
- machine_learning
- statistic
loss function
machine learning
- machine_learning
machine learning engineer
- machine_learning
- work
manifold
masked language modeling
- NLP
mean squared error
- machine_learning
- linear_regression
metric learning
- recommendation_system
- machine_learning
min-max scaling
- feature_scaling
mixed precision
MLlib
- Spark
MLP
monotonic behaviour chains
multi-task learning
- machine_learning
Multiple Additive Regression Trees
- ensemble
Naïve Bayes
- machine_learning
- classification
Named Entity Recognition
- NLP
- machine_learning
Neural machine translation
- NLP
neural network
- deep_learning
non-stationary
- recommendation_system
Normalization
- machine_learning
- feature_scaling
novelty detection
offline evaluation
- machine_learning
Offline Learning
Open Neural Network Exchange
- deep_learning
- machine_learning
out of fold prediction
- machine_learning
overfitting
- machine_learning
Padding
PCA
- machine_learning topic_modeling
permutation importance
- feature_engineering
permuted language modeling
Poisson regression
- linear_regression
polynomial regression
- linear_regression
Positional Encoding
- NLP
Principal Component Analysis
- machine_learning
- embedding
Probabilistic PCA
- machine_learning
probability calibration
probit model
- linear_regression statistic
Prompt Compression
Prompt Engineering
- LLM NLP
pruning
Qwen-VL
R-squared
- statistic
- linear_regression
random forest
- ensemble
- machine_learning
Random search
- machine_learning
- hyperparameter_optimization
RankNet
- learning_to_rank
regression
- linear_regression
regularization
ReLU function
- activation_function
reparametrization trick
- optimization
residual standard error
- metrics
restricted boltzmann machine
- machine_learning
ridge regression
RLHF
- LLM
- reinforcement_learning
Rotary Positional Embedding
- NLP LLM
Rules of ML
sampling
- machine_learning
Scale Invariant Feature Transform
self-attention
- NLP
self-supervised
- deep_learning
seq2seq
- RNN
- deep_learning
Sequential logistic regression
- linear_regression
shapley additive explanations
- machine_learning
sigmoid function
- activation_function
silhouette score
- clustering
- metrics
Singular Value Decomposition
skip connection
softmax function
stable diffusion
- generative_model
- diffusion
Stacked autoencoder
- machine_learning
standardization
step function
- activation_function
- deep_learning
stochastic gradient descent
- machine_learning
- optimization
stride
subset selection
supervised fine-tuning
- deep_learning
- LLM
supervised learning
support vector machine
Surrogate Model
t-Stochastic Nearest Embedding
- word2vec
- clustering
TabFM
tagging
- github
tanh function
Tokenizers(huggingface)
- NLP
top-k Sampling
topic modeling
Trainer(huggingface)
- huggingface LLM
TrainerCallback
Transductive
- machine_learning
True Positive Rate
- metrics
- machine_learning
UCB
- MAB
- reinforcement_learning
UMAP
- feature_engineering
underfitting
unsupervised learning
vanishing gradients
- deep_learning
voting
- ensemble
weight decay
- deep_learning
weighted least squares
- machine_learning
- linear_regression
Xavier initialization
- deep_learning
개념 변화
- database
기계학습을 이용한 데이터스트림 환경에서의 개념 변화 검출 기법

탐색기

machine_learning