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Course Outline
Machine Learning Algoritma dalam Julia
Konsep Dasar
- Pembelajaran terawasi dan tidak terawasi
- Cross validation dan pemilihan model
- Tradeoff bias/varians
Regresi Linear & Logistik
(NaiveBayes & GLM)
- Konsep dasar
- Pengalokasian model regresi linear
- Diganostik model
- Naive Bayes
- Pengalokasian model regresi logistik
- Diganostik model
- Metode pemilihan model
Jarak
- Apa itu jarak?
- Euclidean
- Cityblock
- Cosine
- Korelasi
- Mahalanobis
- Hamming
- MAD
- RMS
- Diviasi kuadrat rata-rata
Pengurangan Dimensi
- Analisis Komponen Utama (PCA)
- Linear PCA
- Kernel PCA
- Probabilistik PCA
- Komponen Independen CA
- Pengukuran Multidimensi
Metode Regresi yang Diubah
- Konsep dasar regularisasi
- Regresi ridge
- Regresi lasso
- Regresi komponen utama (PCR)
Klastering
- K-means
- K-medoids
- DBSCAN
- Klastering hierarkis
- Alogaritma Klaster Markov
- Klastering C-fuzzy
Model Pembelajaran Mesin Standar
(NearestNeighbors, DecisionTree, LightGBM, XGBoost, EvoTrees, LIBSVM paket)
- Konsep boosting gradien
- Tetangga terdekat K (KNN)
- Model pohon keputusan
- Model hutan acak
- XGboost
- EvoTrees
- Mesin vektor dukungan (SVM)
Jaringan Saraf Buatan
(Paket Flux)
- Descent gradien stokastik & strategi
- Multilayer perceptrons feed maju dan back propagation
- Regularisasi
- Jaringan saraf rekurens (RNN)
- Jaringan saraf konvolusional (Convnets)
- Otoenkoder
- Hiperparameter
Requirements
Course ini ditujukan untuk orang yang sudah memiliki latar belakang dalam ilmu data dan statistik.
21 Hours
Testimonials (2)
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow
I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.
