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Welcome to this course

We are excited to meet you! I am Dr. Le Nguyen Quoc Khanh. In this course, we will be learning about basic concepts of AI (including machine learning and deep …

Common algorithms

In this video, Dr. Khanh will introduce a couple of common algorithms, including K Nearest Neighbors, Random Forest, Support Vector Machine, and Deep Learning. He will briefly introduce them and …

Confusion matrix and multiclassification

In this video, Dr. Khanh will introduce the confusion matrix. The confusion matrix is the results from the machine learning outcomes for binary classifications. He will explain how this matrix …

Learning process in machine learning

In this video, Dr. Khanh will explain the learning process in machine learning. If you want to perform machine learning algorithms, how can machines learn? First, we need to provide …

Bioinformatics data

In this video, Dr. Khanh Le will explain types of bioinformatics data. He starts with a chart on protein structure. Then, he explains FASTA Format for sequencing. FASTA format is …

Collecting bioinformatics data

In this video, Dr. Khanh Le will explain how to collect bioinformatics data from public resources. Here are the resource mentioned in the chart: NCBI Uniprot GENEONTOLOGY PDB He will …

Bioinformatics feature extraction

In this video, Dr. Khanh will introduce bioinformatics feature extraction and DNA sequence features. The examples he used are from different research papers. We provide them in the also link …

AI general workflow

In this video, Dr. Khanh will explain the difference between traditional machine learning workflow, and deep learning flow. Then, he will explain how AI machine learning gene expression data as …

AI-based bioinformatics workflow

Dr. Khanh will explain AI-based bioinformatics workflow first. He uses an example to explain protein classification. You could see the chart of multiple classifications. If one puts training data, containing …

Different types of learning model

Dr. Khanh will introduce unsupervised learning, supervised learning, and reinforcement learning in this video. Unsupervised Learning is a machine learning technique in which the users do not need to supervise …

Machine learning implementation

Dr. Khanh will introduce how to implement machine learning algorithms next. He starts with the tools for machine learning, Weka, and Python. Please check the link from the official website: …

AI branches

Dr. Khanh will give an outline for this week’s content. First, he will give a definition on Artificial Intelligence. Then he will introduce AI Branches. We will conclude the two …

Types of machine learning

In this video, Dr. Khanh will briefly give a definition for machine learning. He will explain types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Finally, he …

Public resources for bioinformatics

Dr. Khanh Le will introduce you to different public databases for bioinformatics data. These are useful tools when you do research, learning medical knowledge. The first is 1000 Genomes Project. …