Feature Engineering "biến hóa" dữ liệu thô thành "siêu năng lực" cho AI/ML!
Đây là quá trình tạo ra các features (đặc trưng) mới, giá trị hơn từ dữ liệu sẵn có, giúp mô hình học tốt hơn.
Muốn hiểu rõ hơn về "Feature Engineering là gì" và cách áp dụng? Xem ngay tại: [ https://interdata.vn/blog/feature-engineering-la-gi/]
#FeatureEngineering #MachineLearning #AI #DataScience #InterData
How to assess a statistical model?
How to choose between variables?
Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.
If monotonic relationship:
"#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
"#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
Ref: https://statisticseasily.com/kendall-tau-b-vs-spearman/
#normality #normalDistribution #modeling #dataDev #AIDev #ML #modelEvaluation #regression #modelling #dataLearning #featureEngineering #linearRegression #modeling #probability #probabilities #statistics #stats #correctionRatio #ML #Pearson #bias #regressionRedress #distributions
Enteric Fermentation in 2022
Livestock digestion emits too much methane:
* Too many bovines in India, Pakistan, Brazil, United States, China;
* Too many sheep and pigs in China.
(The bubble sizes depend on the amount of methane sent in 2022.)
#GreenhouseForcing #methane #emissions #climateChange #climateBreakdown #climateCollapse #dataViz #bubbleChart #dataMining #plotly #featureEngineering #featureSelection #dataDon
HIRING: Staff Data Scientist - Algorithms/Marketing Technology / United States
💰 USD 192K+
#BERT #Dataanalysis #DeepLearning #Engineering #Featureengineering #GenerativeAI #GPT #GPT2 #GPT3 #LLaMA
"Feature importance helps in understanding which features contribute most to the prediction"
A few lines with #sklearn: https://mljourney.com/sklearn-linear-regression-feature-importance/
#interpretability #explainability #AIethics #compliance #taxonomy #ethicalAI #AIevaluation #linearRegression #featureEngineering
Discover how feature engineering transforms Tesla stock data into powerful insights for machine learning models. Learn to create custom features for enhanced trading strategies. #FeatureEngineering #TeslaStock #MachineLearning
https://teguhteja.id/feature-engineering-tesla-stock-analysis-machine-learning/
Discover how feature interaction in machine learning boosts model accuracy. Learn to implement and measure its impact using the UCI Abalone Dataset. #MachineLearning #FeatureEngineering
https://teguhteja.id/feature-interaction-machine-learning-model-accuracy/
Overcome feature engineering challenges with our comprehensive guide. Learn to handle categorical data, missing values, and high dimensionality in ML datasets. #FeatureEngineering #MachineLearning
https://teguhteja.id/feature-engineering-challenges-mastering-data-preparation/
Unlock the power of feature engineering with the UCI Abalone Dataset! Learn how to create meaningful features, improve model performance, and gain valuable insights from your data. #FeatureEngineering #MachineLearning #DataScience
https://teguhteja.id/feature-engineering-unlocking-power-uci-abalone-dataset/
InterData VN
Eric Maugendre
aijobs.net
IB Teguh TM
