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Data Science, Machine Learning and Big Data: Current trends

Published on May 18, 202041 Views

Nada Lavrač

Machine Learning is one of the most flourishing areas of computer science. Traditionally, machine learning was concerned with the discovery of models, patterns, and other regularities in data stored i

Seminar: AI for Industry and Society, Ljubljana 2020

Related categories

Artificial IntelligenceComputer ScienceSocial Sciences

Chapter list

Data science, machine learning and big data: Current trends00:00
Machine Learning - 100:31
Machine Learning - 201:49
Machine Learning - 303:21
Machine learning: An illustrative example03:57
Why learn and use black box models - 104:09
Why learn and use black box models - 205:00
First Generation Machine Learning05:27
Multi class Learning Task06:08
Binary Classification Binary06:13
Multi target Classification06:20
Learning from Numeric Class Data 06:32
Example regression problem06:39
Baseline numeric model07:15
Baseline numeric predictor07:19
Linear Regression Model07:25
Regression tree07:29
Model tree07:49
kNN K nearest neighbors08:06
Machine Learning and Data Mining08:13
Data Mining09:08
Knowledge Discovery in Databases09:23
KDD Process - 109:51
KDD Process - 210:30
Second Generation Machine Learning11:19
Relational Data Mining12:02
Relational and Semantic Data M ining12:24
Using domain ontologies13:30
Semantic Data Mining: Using ontologies as background knowledge in RDM13:37
Subgroup Discovery14:04
SD algorithms in Orange DM Platform14:19
Second Generation Data Mining Platforms14:34
Data Mining Workflows for Open Data Science15:13
Big Data 15:52
The 4 Vs of Big Data16:20
Data Science16:52
Third Generation Machine Learning17:42
Representation Learning18:49
Representation Learning in Relation Learning setting19:27
Propositionalization: - 119:31
Propositionalization: - 219:33
Propositionalization: - 319:34
Propositionalization: - 419:35
Text mining: Viewed in propositionalization context: BoW data transformation19:36
BoW construction: Feature weights and Cosine similarity between document vectors19:55
Embeddings based Data Transformation for Text mining - 120:02
Embeddings based Data Transformation for Text mining - 220:09
Embeddings based Data Transformation for Text mining - 320:20
Cross domain or cross lingual Embeddings based Data Transformation for Text mining20:24
Department of Knowledge Technologies20:39