This repository is about studies by myself. Themes is about Electrical Engineering, Computer Science, Bioinformatics, Biotechnology, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition, Data Structure, Algorithm and Reinforcement Learning what I am interested in.

• Coursera
• edX
• Khan Academy
• Udemy

• Stanford University CS231n: Deep Learning for Computer Vision | Youtube (Spring 2017)
• 라온피플 머신러닝 아카데미

• Stanford University CS224N: Natural Language Processing with Deep Learning
• Stanford University CS224d: Deep Learning for Natural Language Processing

• Caltech CS156: Learning from Data | Youtube (Spring, 2012) | Learning from Data 한글 정리 | PDF
• Caltech CS224W: Machine Learning with Graphs
• Blogs
• 모두를 위한 머신러닝/딥러닝 강의

Books about Machine Learning, Deep Learning and Computer Vision.

• Machine Learning: ML
• Deep Learning: DL
• Reinforcement Learning: RL
• Computer Vision: CV
• Natural Language Processing: NLP
• TensorFlow: TF

• offical tutorial and explanation welcome.ipynb
• useful materials URL

Books about Data Structure and Algorithm.

• Problem Solving: PROBLEM SOLVING
• 30 Days of Code: Tutorial with Python and C++
• Interview Preparation Kit: INTERVIEW PREPARATION

• Lessons
• Challenges

• Kakao Blind Recruitment | 2020 | 2019 | 2018
• 코딩테스트 연습

Books about Programming Languages.

How to delete | Blog (KR)

How to alarm for billing | Blog (KR)

• Docker 🐳 | What is a Container?

A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries and settings.

Korean Tutorial | Blog 1 (KR) | Blog 2 (KR) | Blog 3 (KR)

NVIDIA Docker

• Kubernetes 🐋 | Katacode (Deprecated)

Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications.

More contents are at the 'Container' page.

Python, and CUDA:

$ python --versioin
$ nvcc --version

TensorFlow, Keras, PyTorch, and OpenCV in python:

import tensorflow; tensorflow.__version__
import keras; keras.__version__
import torch; torch.__vrtsion__
import cv2; cv2.__version__

CuDNN in ~/CUDA/include/cudnn.h:

#define CUDNN_MAJOR 7
#define CUDNN_MINOR 4
#define CUDNN_PATCHLEVEL 2
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)

• Virtual Box | Download VirtualBox 6.0.14 latest (2019-11-15-Fri)
• VMware | Download VMware Workstation Player 15.5.1 lateset (2019-11-15-Fri)

More contents are at the 'Virtualization' page.

Utility Scripts with Python.

A. TensorFlow

A. AWS

B. Kubernetes:

• CERTIFIED KUBERNETES ADMINISTRATOR (CKA)
• CERTIFIED KUBERNETES APPLICATION DEVELOPER (CKAD)
• CERTIFIED KUBERNETES SECURITY SPECIALIST (CKS)
• KUBERNETES AND CLOUD NATIVE ASSOCIATE (KCNA)
• KUBERNETES CERTIFIED SERVICE PROVIDER (KCSP)
• PROMETHEUS CERTIFIED ASSOCIATE (PCA)

A. Unix - Oracle Solaris:

• OCSA
• OCNA

B. Linux - Linux Professional Institute (LPI):

• LPIC-1
• LPIC-2
• LPIC-3 Mixed Environments
• LPIC-3 Security
• LPIC-3 Virtualization and Containerization
• LPIC-3 High Availability and Storage Clusters

C. Windows:

• MCSA
• MCSE