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RPS Pembelajaran Mesin
Pengumuman
[OPTIONAL] Proyek Progress
Final Project
Nilai Kuis dan UTS
Solusi Kuis 1
Solusi Kuis 2
01 - Pengenalan Machine Learning
[PRESENSI] Materi 01 - Pengenalan Machine Learning
[PRESENSI] Guest Lecture - AI and Digital Innovation in Healthcare Industry
[PRESENSI] Video 01 - Pengenalan Machine Learning
Tugas 1 - Machine Learning di Industri Kesehatan
02 - Deep Learning dan Dasar TensorFlow
[PRESENSI] Kuliah 02-1 Menggunakan Google Colab and Library TensorFlow
[PRESENSI] Kuliah 02-2 Membuat Tensors dengan tf.constant()
[PRESENSI] Kuliah 02-3 Perbedaan Skalar, Vektor, Matriks, dan Tensor
03 - Regression dan Implementasi pada TensorFlow
[PRESENSI] Kuliah 03 - Regression with TensorFlow
04 - Classification dan Implementasi pada TensorFlow
[PRESENSI] Kuliah 04 - 1: Create Data
[PRESENSI] Kuliah 04 - 2: Classification Modelling
[PRESENSI] Kuliah 04 - 3: TensorFlow Playground
[PRESENSI] Kuliah 04 - 4: Decision Boundary
[PRESENSI] Kuliah 04 - 5: Activation Function
[PRESENSI] Kuliah 04 - 6: Model Evaluation
05 - Computer Vision dan Convolutional Neural Network pada TensorFlow
[PRESENSI] Tugas 2 - Classification dan Implementasi pada TensorFlow
[Presensi] Teori CNN 1 - Computer Vision, Edge Detection, Padding
[PRESENSI] Teori CNN 2 - Strided Convolution, Convolution over Volumes, Pooling Layers
[PRESENSI] Teori CNN 3 - CNN Example
[PRESENSI] Praktek - Implementasi CNN dengen TF
06 - AI in Digital Innovation and Healthcare Industry
[PRESENSI] Kuis 1
[PRESENSI][VIDEO] Artificial Intelligence and Digital Innovation in Healthcare Industy
07 - Transfer Learning 2: Fine Tuning
[PRESENSI] Quiz 2
[PRESENSI][VIDEO] Build Professional Career in Big Data and Artificial Intelligence Field
08 - Ujian Tengah Semester
[PRESENSI] Ujian Tengah Semester (UTS)
09 - Delivering Your Artificial Intelligence Project
[PRESENSI] Delivering Your AI Project
[PRESENSI] Kuliah Umum: Successful Artificial Intelligence Project in Industry (R. Bram, Ph.D)
10 - Dasar-Dasar Natural Language Processing (NLP) dan Implementasi
[PRESENSI] Kuliah Umum: NLP and Its Application in Medicine and Healthcare (Dr. Derry Wijaya)
11 - Dasar-Dasar Sequence Model
[PRESENSI] Sequence Model
[PRESENSI][VIDEO] Sequence Model
12 - Aplikasi Time Series dan Penelitian pada Bidang Kesehatan
[PRESENTASI][VIDEO] Artificial Intelligence in Intensive Care Unit
13 - Practical Machine Learning from PRAGMA Community
[PRESENSI][VIDEO] Practical Machine Learning Day 1
[PRESENSI][VIDEO] Practical Machine Learning Day 2
14 - Menjadi Machine Learning Developer
[PRESENSI] Machine Learning Developer
[PRESENSI] Computer Vision and Image Processing (Dr. Anusha Achuthan- USM Malaysia)
[PRESENSI][KODE] Convolutional Neural Networks for Image Classification
[PRESENSI] NLP and Its Application in NLP (Dr. Derry Wijaya - Boston University, USA)
[PRESENSI][KODE] Deep Learning for Sentence Classification
[PRESENSI] AI in Intensive Care Unit (Prof. Xuel, The University of Queensland, Australia))
[PRESENSI][KODE] Deep Learning for Time Series Prediction
15 - TensorFlow Developer Certificate
[PRESENSI][VIDEO-01] Simple Regression
[PRESENSI][CODE-01] Simple Regression
[PRESENSI][VIDEO-02] First steps in computer vision
[PRESENSI][CODE-02] A Computer Vision Example
[PRESENSI][VIDEO-03] Convolutions and pooling
[PRESENSI][CODE-03] Convolutions
[PRESENSI][VIDEO-04] Coding with Convolutional Neural Networks
[PRESENSI][CODE-04] Improving using Convolutions
[PRESENSI][VIDEO-05] Classifying real-world images
[PRESENSI][CODE-05] Using Convolutions with Complex Images
[PRESENSI][VIDEO-06] Convolutional cats and dogs
[PRESENSI][CODE-06] Training with a Larger Dataset - Cats and Dogs
[PRESENSI][VIDEO-07] Image augmentation and overfitting
[PRESENSI][CODE-07] Cats v Dogs Augmentation
[PRESENSI][VIDEO-08] Tokenization for Natural Language Processing
[PRESENSI][CODE-08] Tokenization example
[PRESENSI][VIDEO-09] Using the Sequencing APIs
[PRESENSI][CODE-09] Sentence array example
[PRESENSI][VIDEO-10] Using NLP to build a sarcasm classifier
[PRESENSI][CODE-10A] Sarcasm detector 1
[PRESENSI][CODE-10B] Sarcasm detector 2
16 - Ujian Akhir Semester
Unggah Kartu Ujian
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Pembelajaran Mesin
Teacher:
531141112024 Chandra Prasetyo Utomo
Synchronous Meeting Type
:
Blended (Online and Face-to-Face)
Skill Level
:
Beginner
