MEGA Machine Learning in GIS & Remote Sensing: 5 Courses in1
Understand & apply machine learning and deep learning for geospatial tasks (GIS and Remote Sensing) in QGIS and ArcGIS
4.21 (492 reviews)
2 373
students
8.5 hours
content
Nov 2024
last update
$74.99
regular price
What you will learn
Fully understand the basics of Machine Learning and Machine Learning in GIS
Learn the most popular open-source GIS and Remote Sensing software tools (QGIS, SCP, OTB toolbox)
Learn the market leading GIS software ArcGIS (ArcMap) and ArcGIS Pro
Learn about supervise and unsupervised learning and their applications in GIS
Apply Machine Learning image classification in QGIS and ArcGIS
Run segmentation and object-based image analysis in QGIS and ArcGIS
Learn and apply regression modelling for GIS tasks
Understand the main developments in the field of Artificial Intelligence, deep learning and machine learning as applied to GIS
Complete two independent projects on Machine Learning and Deep Learning
Understand basics of deep learning as a part of machine learning
Apply deep learning algorithms , such as convolution neural networks, in GIS with ArcGIS Pro
Course Gallery
Loading charts...
Comidoc Review
Our Verdict
MEGA Machine Learning in GIS & Remote Sensing: 5 Courses in1 is a comprehensive program offering insights into machine learning and deep learning techniques tailored to GIS and Remote Sensing tasks. The instructor's expertise and effective delivery contribute to an engaging learning experience. However, certain concerns include inconsistencies in QGIS-related sections, abrupt changes in content organization, and unresolved errors in practical exercises. Considering the course updates through 2024, addressing these issues could significantly improve overall learning satisfaction and outcomes.
What We Liked
- Covers machine learning and deep learning applications specific to GIS & Remote Sensing
- Instructor is knowledgeable, engaging, and delivers the content effectively
- Provides insights into both open-source (QGIS, SCP, OTB toolbox) and proprietary (ArcGIS) software tools
- Comprehensive curriculum includes supervised and unsupervised learning, image classification, segmentation, object-based image analysis, regression modeling, and deep learning algorithms like CNNs
Potential Drawbacks
- Some users have experienced version issues and errors in QGIS-related sections
- Fast-paced theoretical lessons with limited slides might be challenging for some students to follow
- Lack of structured explanation when unsuccessful results are encountered during the classification process
- Occasional interruptions, incomplete videos, and abrupt topic changes may cause confusion
- Limited availability of promised files and datasets hinders practical exercise completion
Related Topics
3287766
udemy ID
01/07/2020
course created date
04/07/2020
course indexed date
Bot
course submited by