Tags » Machine Learning

Newsletter – Week 42, 2018

News:

Articles:

Article

Two presentations at ASA Victoria Meeting

Applying machine-learning based source separation techniques in the analysis of marine soundscapes

Tzu-Hao Lin1, Tomonari Akamatsu2, Yu Tsao3, Katsunori Fujikura1

1Department of Marine Biodiversity Research, Japan Agency for Marine-Earth Science and Technology… 480 more words

Passive Acoustic Monitoring

Two presentations at the 10th International Conference on Ecological Informatics!

Information retrieval from marine soundscape by using machine learning-based source separation

Tzu-Hao Lin 1, Tomonari Akamatsu 2, Yu Tsao 3, Katsunori Fujikura1

1 Department of Marine Biodiversity Research, Japan Agency for Marine-Earth Science and Technology, Japan… 639 more words

Passive Acoustic Monitoring

Studying wildlife activities by using soundscape information

Oral presentation in 2018 ICEO & SI Conference

Studying wildlife activities by using soundscape information

Tzu-Hao Lin1, Yu Tsao2, Chun-Chia Huang3, and Mao-Ning Tuanmu3

1Department of Marine Biodiversity Research, Japan Agency for Marine-Earth Science and Technology… 210 more words

Passive Acoustic Monitoring

Caleb Kumar (Stanford STS, Health Research) hires LD Engineer for Citizen Health Project

I liked how smooth and straightforward the process was. The engineer Adrian (and later Akshay also) understood what I wanted very well. Because the protect involved image recognition of content on my screen, the engineer screenshared with me through Zoom and I could let him control my screen to fine tune features. 92 more words

Case Study

Machine Learning with SAP

SAP offer some Machine Learning courses mainly based on the SAP offering or integration options like TensorFlow.

You can get an nice overview if you take this free courses and understand better what SAP is offering here. 238 more words

Deep Learning

Explaining the terms AI, ML, DL, DS

We all hear these terms being thrown around and often used interchangeably; some of us tag along without knowing what they mean, or we might see them as buzzwords, and others claim to know — and do — what these terms really entail. 683 more words

DS3