Machine Learning for Ecology and Sustainable Natural Resource Management

By Humphries

1: Introduction to Machine Learning A. Data-intensive science B. Data Issues and Availability.- 2: Data-mining in Ecological and Wildlife Research A. Multiple Methods in the Scientific Process B. Data-mining in Ecological and Wildlife Research C. Applications in Ecological Research a. Predicting Patterns in Space and Time b. Data Exploration and Hypothesis Generation c. Pattern Recognition for Sampling D. Bringing It All Together: Leveraging Multiple Methods to Increase Knowledge for Resource Management.- 3: Machine Learning and Resource Management A. Web-based Machine Learning Applications for Wildlife Management B. Linking Machine Learning in Management Applications C. Machine Learning and the Cloud for Natural Resource Applications D. The Global View: Hopes and Disappointments E. The Future of Machine Learning.

• Format: Hardcover
• Language: English
• ISBN: 3319969765
• ISBN13: 9783319969763
• Release Date: November 2018
• Publisher: Springer
• Length: 441 Pages
• Weight: 1.82 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"