01:01:04

Using AI for Fraud Detection - EURO Seminar Series on Operational Research and Machine Learning

03:12

Environmental vs Financial Materiality

01:23:39

Using AI for Fraud Detection: Recent Research Insights and Emerging Opportunities

03:12

Fundamentals in Climate Risk & Sustainability Management: Physical Risk Data & Assessment

01:14:02

Gaining T(h)rust with AI - Guest Lecture for Odesa I.I. Mechnikov National University

01:38:06

Gaining T(h)rust with AI

34:11

Royal Navy

30:55

Bitcoin, Crytptocurrencies and Blockchain explained.

01:26:59

Model Risk

34:25

Research Collaboration Bart Baesens/Seppe vanden Broucke - National Museum of the Royal Navy

59:36

Introduction to Analytics

01:22:45

Boosting Credit Risk Models

34:17

Prof Bart BIEF screen record 2023 06 10

56:54

Social Networks for Fraud Detection - University of Nottingham Malaysia Campus

01:11:32

Challenges in Machine Learning ( Odesa I.I. Mechnikov National University)

52:01

Boosting Credit Risk Models by Prof. Bart Baesens

19:57

Master of Information Management

01:18:39

Fraud Analytics lecture 1

01:44:03

HR analytics

05:43

DBSCAN

24:43

Master of Information Management

49:03

6A E business part D

01:49:12

6 E business part C

30:49

6 E business part A

28:07

5 Business Intelligence and Analytics Part D

37:20

5 Business Intelligence and Analytics Part C

41:35

5 Business Intelligence and Analytics Part B

50:19

5 Business Intelligence and Analytics Part A

49:47

1 Business Information Systems, Strategy and Governance part C

01:24:29

1 Business Information Systems, Strategy and Governance part B

09:13

Book video

01:08:34

1 Business Information Systems, Strategy and Governance part A

03:15

video8 1

03:38

Video6 4

02:43

BlueCourses Climate Risk Peter Plochan

07:05

SAS promo video

08:11

6 2 From Climate to Financial Risks

49:03

Web Analytics

04:05

2 3

18:55

Master of Information Management (prof. dr. Bart Baesens)

03:28

DLE492 Deep Dream

02:10

45 Deep fake

00:59

promo Ethics and AI

11:10

Navigation Analysis

11:48

Uplift Modeling for Churn Prediction

09:15

Singular Value Decomposition

49:33

From If Then Else to Deep Learning

09:22

Homophily (for more info, see https://www.bluecourses.com/)

08:10

Benford's law

02:07

BlueCourses Mission Statement

01:16:56

Chapter 16 Data Distribution and Distributed Transaction Management

01:03:05

Chapter 14 Basics of Transaction Management

01:19:18

Chapter 13 Physical Database Organization

01:25:26

Chapter 10 XML Databases

47:47

Chapter 9 Extended Relational Databases

51:01

Chapter 8 Object Oriented Databases and Object Persistence

01:27:25

Chapter 6 Relational Databases

27:07

Chapter 5 Legacy Databases

31:50

Chapter 4 Organizational Aspects of Data Management

44:04

Chapter 2 Architecture and Classification of DBMS