Канал: RAYNER ALFRED -

Sem 2 2023 24 Lecture 9 Naive Bayes Classifier

Sem 2 2023 24 Lecture 9 Naive Bayes Classifier

Sem 2 2023 24 Lecture 8 Perceptron

Sem 2 2023 24 Lecture 8 Perceptron

Sem 2 2023 24 Lecture 9 Instance Based Classifier

Sem 2 2023 24 Lecture 9 Instance Based Classifier

Instance Based Classifiers

Instance Based Classifiers

TDKK2014 HHCS Champion

TDKK2014 HHCS Champion

KKCR 2014 - The Legend of HHCS

KKCR 2014 - The Legend of HHCS

AI-SISDA Short KPT

AI-SISDA Short KPT

RTFaceDeep Short KPT

RTFaceDeep Short KPT

RTFaceDeep Short

RTFaceDeep Short

AI-SISDA Short

AI-SISDA Short

AI-SISDA Short

AI-SISDA Short

RTFaceDeep

RTFaceDeep

AI-SISDA

AI-SISDA

Lecture 8 Perceptron

Lecture 8 Perceptron

Sem 2 2023 24 Lecture 6 Decision Tree

Sem 2 2023 24 Lecture 6 Decision Tree

Sem 2 2023 24 Lecture 7 Neural Network

Sem 2 2023 24 Lecture 7 Neural Network

Lecture 6 Decision Tree

Lecture 6 Decision Tree

Lecture 5 Logistic Regression and Regression Tree

Lecture 5 Logistic Regression and Regression Tree

Lecture 4 Binary and Multiclass Clasification

Lecture 4 Binary and Multiclass Clasification

Regression Tree

Regression Tree

Logistic Regression

Logistic Regression

Sem 2 2023 24 Lecture 5 Logistic Regression and Regression Tree

Sem 2 2023 24 Lecture 5 Logistic Regression and Regression Tree

Lecture 4 Binary and Multiclass Classification

Lecture 4 Binary and Multiclass Classification

SV30602 Lecture 4 Binary and Multiclass Classification

SV30602 Lecture 4 Binary and Multiclass Classification

Sem 2 2023 24 Lecture 2 Cluster Analysis

Sem 2 2023 24 Lecture 2 Cluster Analysis

Sem 2 2023 24 Lecture 1 Introduction to Data Mining and Machine Learning

Sem 2 2023 24 Lecture 1 Introduction to Data Mining and Machine Learning

RL21003 KD34403 Lecture 2 Cluster Analysis

RL21003 KD34403 Lecture 2 Cluster Analysis

Lecture 3 Regression Analysis

Lecture 3 Regression Analysis

Sample Storage for Aquaculture Products

Sample Storage for Aquaculture Products

RL21003 Lecture 2 (PLUMS)

RL21003 Lecture 2 (PLUMS)

RL21003 Lecture 1 (PLUMS)

RL21003 Lecture 1 (PLUMS)

SV30602 Lecture 2 Cluster Analysis

SV30602 Lecture 2 Cluster Analysis

SV30602 Lecture 1 Introduction to Machine Learning

SV30602 Lecture 1 Introduction to Machine Learning

BIMP EAGE Business Tourism Forum 2024

BIMP EAGE Business Tourism Forum 2024

BIMP_EAGA 2024

BIMP_EAGA 2024

RTFaceDeep: Real Time Face Recognition Using Deep Learning

RTFaceDeep: Real Time Face Recognition Using Deep Learning

2023 Lecture 9 Classification Task II

2023 Lecture 9 Classification Task II

Smart Sabah Cattle

Smart Sabah Cattle

2023 KI70303 Lecture 8 Classification Task I

2023 KI70303 Lecture 8 Classification Task I

2023 Lecture 9 Text Classification II

2023 Lecture 9 Text Classification II

Lecture 7 Documents Languages and Properties

Lecture 7 Documents Languages and Properties

Lecture 7 Document Language and Properties

Lecture 7 Document Language and Properties

POIC Lahad Datu An Emerging Logistics Hub in BIMP EAGA

POIC Lahad Datu An Emerging Logistics Hub in BIMP EAGA

PTG Lecture 6 Relevance Feedback and Query Expansion

PTG Lecture 6 Relevance Feedback and Query Expansion

Rice Industry in Vietnam 2023

Rice Industry in Vietnam 2023

KI70303 Lecture 5 Retrieval Evaluation

KI70303 Lecture 5 Retrieval Evaluation

2023 Lecture 5 Retrieval Evaluation

2023 Lecture 5 Retrieval Evaluation

Lecture 3 Classic Model

Lecture 3 Classic Model

Lecture 1 Introduction to Information Retrieval

Lecture 1 Introduction to Information Retrieval

2023 Lecture 1 Introduction to Information Retrieval

2023 Lecture 1 Introduction to Information Retrieval

ICCS2023 - A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition

ICCS2023 - A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition

Lecture 7 Decision Tree

Lecture 7 Decision Tree

Lecture 7 Decision Tree

Lecture 7 Decision Tree

Lecture 5 Neural Network

Lecture 5 Neural Network

Lecture 6 Perceptron

Lecture 6 Perceptron

Lecture 5 Neural Network

Lecture 5 Neural Network

RL21003 Lecture 6 Neural Network

RL21003 Lecture 6 Neural Network

KI50603 Advanced Data Mining Lecture 4

KI50603 Advanced Data Mining Lecture 4

KI50603 Advanced Data Mining Lecture 3

KI50603 Advanced Data Mining Lecture 3

Lecture 4 Logistic Regression and Regression Tree Analysis

Lecture 4 Logistic Regression and Regression Tree Analysis

Lecture 4 Supervised Learning Basic Concept

Lecture 4 Supervised Learning Basic Concept

RL21003 Lecture 5 Supervised Decision Tree

RL21003 Lecture 5 Supervised Decision Tree

RL21003 Lecture 4 Supervised Learning Basic Concept

RL21003 Lecture 4 Supervised Learning Basic Concept

KD34403 Lecture 3 Regression Analysis Sem 2 2022 2023

KD34403 Lecture 3 Regression Analysis Sem 2 2022 2023

KI50603 Advanced Data Mining Lecture 2

KI50603 Advanced Data Mining Lecture 2

KI50603 Advanced Data Mining Lecture 1

KI50603 Advanced Data Mining Lecture 1

RL21003 Lecture 3 Unsupervised Learning: Advanced Concept and Application

RL21003 Lecture 3 Unsupervised Learning: Advanced Concept and Application

RL21003 Lecture 2 Unsupervised Learning Basic Concept and Application

RL21003 Lecture 2 Unsupervised Learning Basic Concept and Application

RL21003 Lecture 1 Introduction

RL21003 Lecture 1 Introduction

RL21003 Lecture 2 Practical Cluster Analysis

RL21003 Lecture 2 Practical Cluster Analysis

Smart Sabah Cattle

Smart Sabah Cattle

Tarlac, Pampanga, Manila Golf Tour, 14 - 19 March

Tarlac, Pampanga, Manila Golf Tour, 14 - 19 March

Congratulations to Ronny and Kathleen on your Wedding Day - 18 Feb 2023

Congratulations to Ronny and Kathleen on your Wedding Day - 18 Feb 2023

Practicals on Ensembles and Text Mining

Practicals on Ensembles and Text Mining

2022 Lecture 9 Supervised Task

2022 Lecture 9 Supervised Task

2022 Lecture 7 Document Languages and Properties

2022 Lecture 7 Document Languages and Properties

2022 Lecture 6 Relevance Feedback and Query Expansion

2022 Lecture 6 Relevance Feedback and Query Expansion

2022 Tutorial 3 Retrieval Evaluation

2022 Tutorial 3 Retrieval Evaluation

2022 Lecture 5 Retrieval Evaluation

2022 Lecture 5 Retrieval Evaluation

2022 Tutorial 2 Alternative Set Based

2022 Tutorial 2 Alternative Set Based

KI70303 Lecture 5 Retrieval Evaluation

KI70303 Lecture 5 Retrieval Evaluation

KI70303 Lecture 4 Modelling Term Weighting

KI70303 Lecture 4 Modelling Term Weighting

KI70303 Lecture 3 Modelling

KI70303 Lecture 3 Modelling

KI70303 Lecture 1 Introduction to Information Retrieval

KI70303 Lecture 1 Introduction to Information Retrieval

KI70303 Lecture 2 User Interface for Search

KI70303 Lecture 2 User Interface for Search

MLDS Lecture 12 Design and Analysis of Machine Learning

MLDS Lecture 12 Design and Analysis of Machine Learning

MLDS Lecture 11 Ensemble Classifier

MLDS Lecture 11 Ensemble Classifier

MLDS Lecture 9 Bayes Classifier

MLDS Lecture 9 Bayes Classifier

MLDS Lecture 10 Cluster Analysis

MLDS Lecture 10 Cluster Analysis

MLDS Lecture 10 Cluster Validity

MLDS Lecture 10 Cluster Validity

MLDS Lecture 8 Instance Based Classifier

MLDS Lecture 8 Instance Based Classifier

MLDS Lecture 7 Decision Tree

MLDS Lecture 7 Decision Tree

MLDS Lecture 6 Perceptron

MLDS Lecture 6 Perceptron

MLDS Practical 3 Perceptron

MLDS Practical 3 Perceptron

MLDS Practical 2 Application of NN in Regression and Classification Using R

MLDS Practical 2 Application of NN in Regression and Classification Using R

MLDS Lecture 5 Neural Network

MLDS Lecture 5 Neural Network

MLDS Practical 1 Regression Analysis

MLDS Practical 1 Regression Analysis

MLDS Lecture 4 Regression Trees

MLDS Lecture 4 Regression Trees

MLDS Lecture 4 Logistic Regression

MLDS Lecture 4 Logistic Regression

MLDS Lecture 3 Regression Analysis

MLDS Lecture 3 Regression Analysis

MLDS Lecture 2 Binary and Multiclass Classification

MLDS Lecture 2 Binary and Multiclass Classification

MLDS Lecture 1 Introduction to Machine Learning

MLDS Lecture 1 Introduction to Machine Learning

Lecture 10a Ensemble Classifiers

Lecture 10a Ensemble Classifiers

Lecture 10b Features Selection

Lecture 10b Features Selection

Lecture 11 Practical Exercise

Lecture 11 Practical Exercise

Lecture 9 Text Classification II

Lecture 9 Text Classification II

Lecture 8 Text Classification I

Lecture 8 Text Classification I

Lecture 7 Documents Language and Properties Sem 1 2021 2022

Lecture 7 Documents Language and Properties Sem 1 2021 2022

Lecture 6 Relevance Feedback and Query Expansion Sem 1 2021 2022

Lecture 6 Relevance Feedback and Query Expansion Sem 1 2021 2022

Lecture 5 Retrieval Evaluation Sem 1 2021 2021

Lecture 5 Retrieval Evaluation Sem 1 2021 2021

Lecture 3 Classic Model Sem 1 2021 2022

Lecture 3 Classic Model Sem 1 2021 2022

Lecture 4 Set Based Model Sem 1 2021 2022

Lecture 4 Set Based Model Sem 1 2021 2022

Lecture 1 Introduction to Information Retrieval Sem 1 2021 2022

Lecture 1 Introduction to Information Retrieval Sem 1 2021 2022

Lecture 3 Modeling I Classic Models Cont

Lecture 3 Modeling I Classic Models Cont

Lecture 3 Modeling I Classic Models

Lecture 3 Modeling I Classic Models

Lecture 2 User Interface for Search

Lecture 2 User Interface for Search

Lecture 1 Introduction to Information Retrieval

Lecture 1 Introduction to Information Retrieval

ICCST2021 MD2S2 & ED2S2 2021 08 28 at 22 58 GMT 7

ICCST2021 MD2S2 & ED2S2 2021 08 28 at 22 58 GMT 7

Lecture 10 1 Ensemble Classifiers

Lecture 10 1 Ensemble Classifiers

Lecture 10 2 Features Selection

Lecture 10 2 Features Selection

Lecture 7.1 Document: Languages and Properties

Lecture 7.1 Document: Languages and Properties

Lecture 6.5.2 Implicit Feedback Through Local Analysis: Local Context Analysis

Lecture 6.5.2 Implicit Feedback Through Local Analysis: Local Context Analysis

Lecture 6.5.1 Implicit Feedback Through Local Analysis: Local Clustering

Lecture 6.5.1 Implicit Feedback Through Local Analysis: Local Clustering

Lecture 6.1 Introduction to Relevance Feedback and Query Expansion

Lecture 6.1 Introduction to Relevance Feedback and Query Expansion

Lecture 6.2 A Framework for Feedback Methods

Lecture 6.2 A Framework for Feedback Methods

Lecture 6.3 Explicit Relevance Feedback

Lecture 6.3 Explicit Relevance Feedback

Lecture 6.4 Explicit Feedback Through Click

Lecture 6.4 Explicit Feedback Through Click

Lecture 9 1 KK04803 Sem 2 2020 2021 Text Classification

Lecture 9 1 KK04803 Sem 2 2020 2021 Text Classification

FaceDeep2020

FaceDeep2020

Lecture 7.2 Information Theory

Lecture 7.2 Information Theory

Lecture 8.5 Naive Text Classification

Lecture 8.5 Naive Text Classification

Lecture 8.4 Agglomerative Clustering

Lecture 8.4 Agglomerative Clustering

Lecture 8.3 Bisecting k-means Clustering

Lecture 8.3 Bisecting k-means Clustering

Lecture 8.2 Unsupervised

Lecture 8.2 Unsupervised

Lecture 8.1 Introduction to Text Classification

Lecture 8.1 Introduction to Text Classification

Lecture 9 2 KK04803 Sem 2 2020 2021 kNN Classifier

Lecture 9 2 KK04803 Sem 2 2020 2021 kNN Classifier

Lecture 7.3 Text Similarity

Lecture 7.3 Text Similarity

Smart Incidents Management System

Smart Incidents Management System