AI DAN BIG DATA ANALYSIS
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Section 1
Introduction to AI and Big Data
Reference Book for Data Science
Learning Video
Homework 1
Apa itu Machine Learning
Section 2
Artificial Intelligence, Concept and Application
Homework 2
Supervised Learning
Unsupervised Learning
Section 3
Python Language
Reference Book for Python Programming
External Material
Homework 3
Section 4
Python Library for Data Analysis
Homework 4
5 Python Libraries for Data Science
Section 5
Numpy and Matplotlib
Homework 5
Section 6
Fourier Analysis
Homework 6
Section 7
Machine Learning
Homework 7 (Midterm)
Section 8
Makeup Midterm
Introduction to Deep Learning
Learning Video
External Materials
Reference Book for Deep Learning
Github Page
Section 9
The Mathematical Building Blocks of Neural Networks
Homework 9
Section 10
Getting started with Neural Networks
Homework 10
Apa itu Neural Network
Deep Learning Tutorial
Section 11
Fundamentals of Machine Learning
Homework 11
Section 12
Deep Learning for Computer Vision
Homework 12
Section 13
Recurrent Neural Networks (RNN), Long‐Short‐Term‐Memories (LSTM) and Gated Recurrent Units (GRUS)
Homework 13
Recurrent Neural Networks
Section 14
Word Embedding and Translation With a Sequence-to-Sequence Network Attention
Homework 14
Extra Project - Wearing Mask Detection
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FAKULTAS TEKNIK ELEKTRO (FTE)
PRODI S1 TEKNIK TELEKOMUNIKASI (FTE)
TTI4I3-28996
Summary
AI DAN BIG DATA ANALYSIS
Teacher:
SURYO ADHI WIBOWO
Teacher:
FITYANUL AKHYAR
Teacher:
Admin CELOE
Teacher:
LEANNA VIDYA YOVITA