Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning for Ecology and Sustainable Natural Resource Management

Machine Learning for Ecology and Sustainable Natural Resource Management

Humphries, Grant
Magness, Dawn R.
Huettmann, Falk

Hardcover

DatabasesEnvironmental StudiesGeneral Computers

ISBN10: 3319969765
ISBN13: 9783319969763
Publisher: Springer Nature
Published: Nov 13 2018
Pages: 441
Weight: 1.82
Height: 1.00 Width: 6.14 Depth: 9.21
Language: English
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.

Also in

Environmental Studies

View All