Machine Learning for Geospatial Data Export this event to calendar

Wednesday, February 13, 2019 — 2:00 PM to 3:30 PM EST

Want to get hands-on practice on Machine Learning tools for processing Geospatial Data?

Join us to learn how to implement Machine Learning workflows using real-world Geospatial datasets.

Register today as there are limited seats!

Learning Objectives

  • How to import and visualize large Geospatial datasets, both vector and raster, in a Jupyter notebook environment.
  • How to use basic functionalities of Python tools such as Numpy, Pandas, Scikit-learn, Matplotlib, and Keras.
  • How to run advanced Machine Learning models using a GPU in a Cloud Computing setting.

Logistics:

  • There are computers available, or you can bring your own laptop. It is not necessary to install any software in advance.
Location 
LIB - Dana Porter Library
Computer Lab (LIB 329)
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
Event tags 

S M T W T F S
24
25
26
27
28
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
2
3
4
5
6
  1. 2019 (66)
    1. November (2)
    2. October (2)
    3. September (2)
    4. August (1)
    5. July (11)
    6. June (6)
    7. May (5)
    8. April (9)
    9. March (8)
    10. February (13)
    11. January (7)
  2. 2018 (208)
    1. December (5)
    2. November (10)
    3. October (20)
    4. September (3)
    5. August (1)
    6. July (24)
    7. June (17)
    8. May (4)
    9. April (12)
    10. March (50)
    11. February (50)
    12. January (16)
  3. 2017 (115)
  4. 2016 (59)
  5. 2015 (71)
  6. 2014 (44)