Drivers’ analogizing images related traffic events showed the possibility of systematization of the traffic
information with previous studies. In this paper, we analyzed words displayed on variable message sign to compare with the images. We got the cosign similarity between words using word2vec and made it a matrix. As a result of analyzing this by multi-dimensional scaling method, we considered that there were differences from the driver's images. We suggested that improvements on the systematization information.
Analytics for large-scale time series and event dataAnodot
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.
Surat Kabar Guru Belajar Edisi 1 Tahun 1Kampus Cikal
Guru Belajar adalah surat kabar dua bulanan yang diterbitkan Komunitas Guru Belajar dengan misi Menularkan Kegemaran Belajar. Surat Kabar ini menyajikan praktik cerdas pengajaran (#PraktikCerdas), cerita hidup guru (#CeritaGuru) dan foto hasil karya anak (#KaryaAnak)
Bila anda berminat, kirimkan tulisan tentang #PraktikCerdas, #CeritaGuru atau #KaryaAnak. Kami akan menjadi teman belajar anda dengan memberi masukan. Tulisan yang sudah direvisi, akan diterbitkan di surat kabar Guru Belajar.
Info lebih jelas, email kami di KampusGuru@Cikal.co.id
Drivers’ analogizing images related traffic events showed the possibility of systematization of the traffic
information with previous studies. In this paper, we analyzed words displayed on variable message sign to compare with the images. We got the cosign similarity between words using word2vec and made it a matrix. As a result of analyzing this by multi-dimensional scaling method, we considered that there were differences from the driver's images. We suggested that improvements on the systematization information.
Analytics for large-scale time series and event dataAnodot
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.
Surat Kabar Guru Belajar Edisi 1 Tahun 1Kampus Cikal
Guru Belajar adalah surat kabar dua bulanan yang diterbitkan Komunitas Guru Belajar dengan misi Menularkan Kegemaran Belajar. Surat Kabar ini menyajikan praktik cerdas pengajaran (#PraktikCerdas), cerita hidup guru (#CeritaGuru) dan foto hasil karya anak (#KaryaAnak)
Bila anda berminat, kirimkan tulisan tentang #PraktikCerdas, #CeritaGuru atau #KaryaAnak. Kami akan menjadi teman belajar anda dengan memberi masukan. Tulisan yang sudah direvisi, akan diterbitkan di surat kabar Guru Belajar.
Info lebih jelas, email kami di KampusGuru@Cikal.co.id