Course Outline
Fondasi Machine Learning
- Pengenalan konsep dan alur kerja Machine Learning
- Pembelajaran dengan pengawasan vs. pembelajaran tanpa pengawasan
- Mengevaluasi model pembelajaran mesin: metrik dan teknik
Metode Bayesian
- Naive Bayes dan model multinomial
- Analisis data kategoris Bayesian
- Model grafis Bayesian
Teknik Regresi
- Regresi linier
- Regresi logistik
- Model Linier Umum (GLM)
- Model campuran dan model aditif
Pengurangan Dimensionalitas
- Analisis Komponen Utama (PCA)
- Analisis Faktor (FA)
- Analisis Komponen Independen (ICA)
Metode Klasifikasi
- K-Tetangga Terdekat (KNN)
- Mesin Vektor Pendukung (SVM) untuk regresi dan klasifikasi
- Model penguat dan ansambel
Neural Networks
- Pengantar jaringan saraf
- Aplikasi pembelajaran mendalam dalam klasifikasi dan regresi
- Pelatihan dan penyetelan jaringan saraf
Algoritma dan Model Lanjutan
- Model Markov Tersembunyi (HMM)
- Model Ruang Keadaan
- Algoritma EM
Teknik Pengelompokan
- Pengantar pengelompokan dan pembelajaran tanpa pengawasan
- Algoritma pengelompokan populer: K-Means, Pengelompokan Hirarkis
- Kasus penggunaan dan aplikasi praktis pengelompokan
Ringkasan dan Langkah Berikutnya
Requirements
- Pemahaman dasar tentang statistik dan analisis data
- Programming pengalaman dalam R, Python, atau bahasa pemrograman relevan lainnya
Hadirin
- Ilmuwan data
- Ahli Statistik
Testimonials (5)
Variasi dengan latihan dan pertunjukan.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
Machine Translated
the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend
Mamonyane Taoana - Road Safety Department
Course - Statistical Analysis using SPSS
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.