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Instalasi Redmine 3.4.4-stable di Ubuntu 18.04.03

At the moment of writing this article, default installation in Ubuntu 18.04.03 will give you Redmine version 3.4.4.-stable Installing Redmine 3.4.4-stable in 18.04.03 Use live server ISO (ubuntu-18.04.3-live-server-amd64.iso) # reference: How to Install Redmine on Ubuntu step by stepapt-get update apt-get upgrade # install dependencies apt install apache2 software-properties-common ruby-rmagick mysql-server mysql-client mysql-common ruby-dev build-essential … Lanjutkan membaca Instalasi Redmine 3.4.4-stable di Ubuntu 18.04.03

Instalasi Redmine 4.01 di Ubuntu 19.04

Prosedur instalasi Redmine di Ubuntu secara umum dapat dibaca di http://www.redmine.org/projects/redmine/wiki/howto_install_redmine_on_ubuntu_step_by_step , namun untuk setiap versi Ubuntu ada kemungkina perbedaan-perbedaan kecil. Instalasi Aplikasi Pendukung Berikut ini proses instalasi aplikasi pendukung Redmine: Konfigurasi Apache edit file /etc/apache2/mods-available/passenger.conf existing: PassengerRoot /usr/lib/ruby/vendor_ruby/phusion_passenger/locations.ini PassengerDefaultRuby /usr/bin/ruby ditambah “PassengerDefaultUser www-data” menjadi: PassengerDefaultUser www-data PassengerRoot /usr/lib/ruby/vendor_ruby/phusion_passenger/locations.ini PassengerDefaultRuby /usr/bin/ruby tambahkan symlink: ln -s … Lanjutkan membaca Instalasi Redmine 4.01 di Ubuntu 19.04

Lyft Self Driving Dataset and Competition

Lytft just released Level 5 Dataset, and they plan to release the corresponding challenge. Stay tuned. Here is the dataset: https://level5.lyft.com/dataset/ . Its size is around 41 GB

LVIS Challenge 2019

Facebook has just introduced a great dataset and corresponding machine learning challenge at same time. The dataset is named LVIS (Large Vocabulary Instance Segmentation). This is a great visual instance dataset. The challenge: https://www.lvisdataset.org/challenge Today, rigorous evaluation of general purpose object detectors is mostly performed in the few category regime (e.g. 80) or when there … Lanjutkan membaca LVIS Challenge 2019

Visualization in Scikit-learn

Scikit-learn has just introduced simple API for machine learning visualizations. Here are a few visualization samples:

Making Indonesia 4.0

Kumpulan artikel-artikel tentang “Making Indonesia 4.0”. Dokumen Resmi Making Indonesia 4.0 Making Indonesia 4.0 ( Dokumen Peluncuran Resmi ) (87 halaman) (https://www.scribd.com/document/397793605/Making-Indonesia-President-Sign-Document-Bahasa-Final) Making Indonesia 4.0 (Brief, 8 halaman) http://www.kemenperin.go.id/download/18384 Making Indonesia 4.0 (Presentasi Menteri 2018, 21 halaman) (http://kemenperin.go.id/download/18427) Making Indonesia 4.0 (Seminar Nasional Standardisasi Badan Standardisasi Nasional BSN) (http://bsn.go.id/uploads/download/making_indonesia_4.0_-_kementerian_perindustrian.pdf) Making Indonesia 4.0 (Seminar Ditjen ILMATE … Lanjutkan membaca Making Indonesia 4.0

Machine Learning and Data Science Competition 2019

Kaggle: https://www.kaggle.com/ Driven Data: https://www.drivendata.org/competitions/ Crowdanalytix: https://www.crowdanalytix.com/community Coda Lab : https://competitions.codalab.org/ DataScienceChallenge https://www.datasciencechallenge.org/ , but it has shown no activity for long time CrowdAI: https://www.crowdai.org/challenges Analytics Vidhya https://datahack.analyticsvidhya.com/ TopCoder: https://www.topcoder.com/challenges, mostly competitive programming challenges, but several data science challenges are available

Object Detection State of The Art Progress

List of object detection progress: R-CNN Overfeat Multibox SPP-Net MR-CNN DeepBox AttentionNet Fast R-CNN Deep[Proposal Faster R-CNN OHEM YOLO v1 G-CNN AZNet Inside-OutsideNet (ION) Hypernet CRAFT MultiPathNet (MPN) SSD GBDNet CPF MS-CNN R-FCN PVANET DeepID NoC DSSD TDM YOLO v2 Feature Pyramid (FPN) RON DCN DeNet CoupleNet RetinaNet DSOD Mask R-CNN SMN YOLO v3 SIN … Lanjutkan membaca Object Detection State of The Art Progress

Siaran Pers Bersama Terkait Bencana Selat Sunda

Berikut ini siaran pers bersama, yang nampaknya pengumuman resmi paling lengkap sejauh ini tentang bencana tsunami di Selat Sunda. Siaran Pers Bersama dari lembaga-lembaga berikut: Badan Informasi Geospasial (BIG) (https://twitter.com/InfoGeospasial) Kementrian Koordinator Bidang Kemaritiman (https://twitter.com/kemaritiman) Badan Pengkajian & Penerapan Teknologi (BPPT) (https://twitter.com/BPPT_RI) BMKG (https://twitter.com/infoBMKG) Lembaga Ilmu Pengetahuan Indonesia (LIPI) (https://twitter.com/lipiindonesia) Badan Geologi Sumber data ini … Lanjutkan membaca Siaran Pers Bersama Terkait Bencana Selat Sunda

Kerusakan Dan Korban Akibat Tsunami Selat Sunda Desember 2018

Data korban dan kerusakan ini diperoleh dari twitter pak Sutopo Purwo Nugroho (Humas BNPB) di alamat https://twitter.com/Sutopo_PN/status/1077092955389812736 Sejauh ini belum ada gambar resmi dari situs Balai Nasional Penanggulanan Bencana (BNPB)