Page 1 of top 36 OER material results
Inspect A discussion about ML
http://hydro.ijs.si/v001/52/kkdcku4sgycwzxge5wwcvssrs5ioqe7t.mp4
Language:en Provider:Videolectures.NET
Inspect PANEL: Experiences in research, teaching, and applications of ML
http://hydro.ijs.si/v001/21/egtdgchisqpe2vwi6coudlqimierznik.mp4
Language:en Provider:Videolectures.NET
Inspect Algorithmic Aspects of Machine Learning
https://ocw.mit.edu/courses/mathematics/18-409-algorithmic-aspects-of-machine-learning-spring-2015/lecture-notes/MIT18_409S15_intro.pdf

This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. ...

Language:en Provider:MIT OpenCourseWare
Inspect Bridging the gap between domain experts and machine learning
http://hydro.ijs.si/v013/d2/2i7cmpxwt6qavrvfpjpal3xcnuperw5n.mp4
Language:en Provider:Videolectures.NET
Inspect Introduction and General Problem Statement
http://hydro.ijs.si/v005/aa/vkfvobzijwpg3abv4uacf6imcysgf4xn.mp4

Most machine learning (ML) algorithms rely fundamentally on concepts of numerical mathematics. Standard reductions to black-box computational primitives do not usually meet real-world demands and have to be modified at all levels. ...

Language:en Provider:Videolectures.NET
Inspect Machine Learning with Knowledge Graphs
http://hydro.ijs.si/v00f/57/k5ym2dyddzzp6q5klurdnrkwtam65fzr.pdf

Most successful applications of statistical machine learning focus on response learning or signal-reaction learning where an output is produced as a direct response to an input. An important feature is a quick response time, the basis for, e. ...

Language:en Provider:Videolectures.NET
Inspect The Automation of Science
http://hydro.ijs.si/v019/9a/tlsmr7i7ssoq7nvjsp7ysrhkobwdzwcy.mp4

The application of Artificial Intelligence (AI) to science has a distinguished history. Recent progress in AI and laboratory automation has made it possible to fully automate simple forms of scientific research. ...

Language:en Provider:Videolectures.NET
Inspect Opening of the First International Workshop on LEarning and data Mining for Robotics (LEMIR 2009)
http://hydro.ijs.si/v006/05/avn23jrmv37diwjdjko25ujlrlllcnjv.mp4
Language:en Provider:Videolectures.NET
Inspect What can machine learning do for open education?
http://hydro.ijs.si/v00f/39/hgzhj7qssnd7scoa7su46q3ai6b7kojm.mp4

One of the big promises of open and massively online education is easy data collection: we can record everything from students’ habits in reading and viewing lectures, to their participation in discussion groups, to their timing and performance on exercises. So, open education is a natural fit for machine learning - for example, we can use ML to predict future student performance, to select and sequence learning activities, and even to help grade some types of assignments. ...

Language:en Provider:Videolectures.NET
Inspect Scikitlearn
http://hydro.ijs.si/v008/3d/hweimazo7hk6aguwk4hwixvyzzh3c5q2.mp4

Scikits. learn is a Python module integrating classique machine learning algorithmes in the tightly-nit world of scientific Python packages It aims to provide simple and efficient solutions to learning problems that are accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering. ...

Language:en Provider:Videolectures.NET