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WEKA Download and Install

We will have a Weka demonstration in the next session. Prepare your software ready. Please use the document to learn more on Weka 3: Machine Learning Software in Java You …

Why We Learn AI Bioinformatics?

Artificial Intelligence (AI) has had a significant impact on the field of bioinformatics, revolutionizing the way researchers analyze and interpret biological data. Bioinformatics involves the application of computational techniques to …

Grand Challenges in Bioinformatics Data Visualization

Please take some time to read this research: Grand Challenges in Bioinformatics Data Visualization Bioinformatics data visualization faces the challenge of overcoming cognitive biases and developing more effective ways of …

Convolutional Neural Network (CNN)

In this video, Professor Khanh introduces convolutional neural networks (CNNs) as an interesting and common deep learning model, particularly useful for image recognition. He explains how CNNs are assembled with …

Natural Language Processing

In this video, Professor Khanh discusses the application of Natural Language Processing (NLP) in various fields. NLP is a technology used to help computers understand human language. Examples of NLP …

Recurrent Neural Network (RNN)

In this video, Professor Khanh discusses recurrent neural networks (RNN) and their application in deep learning. RNNs are commonly used for processing sequence data such as text, audio, or temporal …

Data for Weka Demonstration

For the demonstration, please follow the video step by step to test the results. We hope you prepare Weka already. Professor Khanh provides ARFF files for you to practice on …

Definition and Characteristic of Deep learning

In this video, Professor Khanh explains further on deep learning. Deep learning is a subset of machine learning and a branch of artificial intelligence (AI) that imitates the human brain’s …

Convert CSV into ARFF using Weka

Professor Khanh will explain how to convert CSV into ARFF using Weka. In the ARFF file format, there are two items representing different data. – Instance: a row of data, …

Fundamentals of Deep Learning

Professor Khanh discusses the fundamentals of deep learning in this session. Three key topics regarding deep learning are highlighted. Firstly, the need for deep learning arises from the abundance of …

Parameter Tuning in Weka

Professor Khanh will introduce how to tune hyperparameters in Weka. How to define your model architecture? What the optimal model architecture should be? And how to explore a range of …

Bioinformatics Case Study

In this video, Professor Khanh introduces the topic of feature learning. Feature learning involves using machine learning algorithms to learn the features extracted from data. The course caters to two …

Save and Load Model

In this video, Professor Khanh discusses the importance of saving and loading machine learning models using Weka because training a model can take a significant amount of time, especially for …