Mengenal Microsoft Azure ML

by Agus Kurniawan 24. July 2016 05:34

 

Era ledakan data sudah dimulai. Dengan meningkatnya data ini, kebutuhan akan analisis terhadap data tersebut juga akan meningkat. Machine Learning digunakan untuk memperoleh insight dari kumpulan data.

Buku Mengenal Microsoft Azure ML ini didesain dan dirancang untuk membantu para profesional dalam membangun aplikasi berbasis Microsoft Azure dan Machine Learning.

Daftar Isi

Bab 1 Mengenal Azure Machine Learning

1.1 Apa Itu Machine Learning?

1.2 Penerapan Machine Learning

1.3 Azure Machine Learning

Bab 2 Memprogram Machine Learning

2.1 Mengenal Machine Learning

2.2 Pemrograman Untuk Machine Learning

2.2.1 Implementasi Machine Learning Dengan R

2.2.2 Implementasi Machine Learning Dengan Python

2.3 Demo 1: Deteksi Email Spam

2.4 Demo 2: Membangun Fuzzy Inference System (FIS)

2.5 Kompetisi Machine Learning

Bab 3 Berkerja Dengan Azure Machine Learning

3.1 Akses Azure Machine Learning

3.2 Azure ML Studio

3.3 Azure ML Projects

3.4 Azure ML Experiments

3.5 Azure ML Dataset

3.6 Azure ML Notebooks

3.7 Azure ML Trained Models

3.8 Azure ML Web Services

3.9 Azure ML Settings

3.10 Bekerja Pada Azure ML Experiments

3.10.1 Membuat Proyek ML Experiment Baru

3.10.2 Modul Data Processing

3.10.2 Algoritma Machine Learning dan Fungsi Statistik

3.10.4 Analisis Text

3.10.5 Publikasi Azure ML Service

Bab 4 Hands-on-LAB Azure Machine Learning

4.1 Studi Kasus: Klasifikasi Bunga Iris

4.2 Persiapan Dataset

4.3 Membuat Eksperimen Baru

4.4 Membuat ML Training

4.5 Menyimpan Model Hasil Training

4.6 Testing ML Data

4.7 Publikasi Web Service

4.8 Deloy dan Testing Web Service

Bab 5 Kustomisasi Azure Machine Learning dengan R dan Python

5.1 Penggunaan R Language Modules

5.1.1 Hello R - Azure Machine Learning

5.1.2 Menangani Error

5.2 Penggunaan Python Language Modules

5.2.1 Hello Python - Azure Machine Learning

5.2.2 Menangani Error

5.3 Kelanjutannya

 

Mendapatkan Buku Ini

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Semoga berguna.

Tags:

Books | Machine Learning | Windows

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