20:06

Clustering

23:18

Recommendation Systems

22:34

Data and Learning

11:13

Introduction to Web Intelligence 2DV515

31:34

Naïve Bayes algorithm

14:39

What is Machine Learning?

34:48

Applied ML - History, Today and Future of AI

11:04

Applied ML - Course Introduction

01:16:30

Examensarbete i datavetenskap - Introduktion VT19

20:28

Exjobb introduktion

01:06

Visualization of k-means clustering

29:19

Kursintroduktion 1ME151/1ME152

28:29

Search Engines

03:52

Inledning Grundläggande programmering

11:31

Introduktion till Azure Notebooks

44:54

Listor i Python

34:35

Funktioner i Python

43:27

Villkor och Upprepning i Python

34:34

Värden och Variabler i Python

50:24

Applied ML - Introduction

09:34

Applied ML - Ensemble Learning

48:27

Applied ML - Neural Networks

30:47

Applied ML - Deep Learning

27:16

Applied ML - Kernel Methods and SVMs

22:35

Applied ML - Decision Support using Decision Trees

14:51

Applied ML - Numerical Regression

24:14

Listor i Scratch

23:53

Beslut i Scratch

21:35

Variabler i Scratch

25:01

Meddelande och Funktioner i Scratch

47:55

Lecture 5 - Animations

01:00:17

Lecture 4 - Rendering

01:03:02

Lecture 3 - Math, geometry and collisions

01:01:57

Lecture 2 - Game Architectures

01:01:48

Lecture 1 - Introduction to Developing Games

01:53:15

Practical Lecture 2 - Space Shooter Unity Project

01:17:46

Practical Lecture 1 - Roll-a-ball Unity Project

09:13

BTHAI 3.0 Terran vs. Zerg

05:16

PvT_2.6.avi

04:49

TvZ_2.6.avi

01:08:19

StarCraft bot architectures

03:26

BTHAI Zerg vs Protoss

06:08

BTHAI Terran vs Zerg

08:14

BTHAI Protoss vs Zerg

02:33

BTHAI Zerg vs Terran