Ilmu Data: Perbedaan antara revisi
Tidak ada ringkasan suntingan |
Tidak ada ringkasan suntingan |
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| (3 revisi perantara oleh pengguna yang sama tidak ditampilkan) | |||
| Baris 1: | Baris 1: | ||
Konsep Utama dalam [[Ilmu Data]] | |||
Tahap 1 [[Pengambilan Data|Pengambilan, Penyimpanan, dan Pembersihan Data]] | |||
'''Tahap 1 [[Pengambilan Data|Pengambilan, Penyimpanan, dan Pembersihan Data]]''' | |||
# [[Big Data]] | # [[Big Data]] | ||
# [[Database|Basis Data Relasional]] | # [[Database|Basis Data Relasional]] | ||
| Baris 8: | Baris 9: | ||
# [[ETL (Extract, Transform, Load)]] atau [[ELT]] | # [[ETL (Extract, Transform, Load)]] atau [[ELT]] | ||
# [[Data Wrangling]] | # [[Data Wrangling]] | ||
# [[Data Cleansing | # [[Data Cleansing (Pembersihan Data)]] | ||
# [[ | # [[Penanganan Data Hilang]] | ||
# [[Outlier|Deteksi Outlier]] | # [[Outlier|Deteksi Outlier]] | ||
Tahap 2 [[Eksplorasi Data|Analisis dan Eksplorasi Data]] | '''Tahap 2 [[Eksplorasi Data|Analisis dan Eksplorasi Data]]''' | ||
# [[Statistika Deskriptif]] | # [[Statistika Deskriptif]] | ||
# [[Statistika Inferensial]] | # [[Statistika Inferensial]] | ||
| Baris 21: | Baris 22: | ||
# [[Analisis Runtun Waktu|Analisis Time Series]] | # [[Analisis Runtun Waktu|Analisis Time Series]] | ||
# [[A/B Testing]] | # [[A/B Testing]] | ||
Tahap 3 [[Pembelajaran Mesin|Pemodelan (Machine Learning)]] | '''Tahap 3 [[Pembelajaran Mesin|Pemodelan (Machine Learning)]]''' | ||
# [[Pembelajaran Mesin (Machine Learning)]] | # [[Machine Learning|Pembelajaran Mesin (Machine Learning)]] | ||
# [[Kecerdasan Buatan (Artificial Intelligence)]] | # [[Kecerdasan Artifisial|Kecerdasan Buatan (Artificial Intelligence)]] | ||
# [[Pembelajaran Terawasi|Supervised Learning]] (Klasifikasi, Regresi) | # [[Pembelajaran Terawasi|Supervised Learning]] (Klasifikasi, Regresi) | ||
# [[Pembelajaran Tak Terawasi|Unsupervised Learning]] (Clustering, Pengurangan Dimensi) | # [[Pembelajaran Tak Terawasi|Unsupervised Learning]] (Clustering, Pengurangan Dimensi) | ||
| Baris 32: | Baris 33: | ||
# [[Overfitting]] dan [[Underfitting]] | # [[Overfitting]] dan [[Underfitting]] | ||
# [[Fitur Engineering|Rekayasa Fitur (Feature Engineering)]] | # [[Fitur Engineering|Rekayasa Fitur (Feature Engineering)]] | ||
# [[ | # [[Algoritma: K-Nearest Neighbors (KNN)]] | ||
# [[ | # [[Algoritma: Pohon Keputusan (Decision Tree)]] | ||
# [[ | # [[Algoritma: Support Vector Machine (SVM)]] | ||
# [[ | # [[Algoritma: Naive Bayes]] | ||
# [[ | # [[Algoritma: Random Forest]] | ||
# [[ | # [[Algoritma: K-Means Clustering]] | ||
Tahap 4 [[Aplikasi Data Science|Penyebaran dan Domain Khusus]] | '''Tahap 4 [[Aplikasi Data Science|Penyebaran dan Domain Khusus]]''' | ||
# [[Natural Language Processing (NLP)]] (Pemrosesan Bahasa Alami) | # [[Natural Language Processing (NLP)]] (Pemrosesan Bahasa Alami) | ||
# [[Computer Vision]] | # [[Computer Vision]] | ||