This is our project on the 8th semester which belongs to the subject "Mechatronic system desgin". Honestly, it was the first time the mobile robot achieved the line, so it is kind of slow (take about 40 seconds to accomplish). However, the final result was nearly 15 seconds which is only after the top of … Continue reading [PROJ 4] LINE FOLLOWING ROBOT

# LINEAR REGRESSION (2) – NEURAL NETWORK APPROACH

Hi everybody, In the last post, I depicted how to implement linear regression based on inverse matrix approach or normal equation using both Scikit-learn and TensorFlow libs. Though the approach gives us a concise answer, it cost the computational memory. The larger dataset is, the more computation need to be calculated. Thus, today, I would … Continue reading LINEAR REGRESSION (2) – NEURAL NETWORK APPROACH

# SINGAPORE – MY FIRST FOREIGN TRIP

Last week, I and my friend made a trip to Singapore - one of the most beautiful country in the world. Honestly, we made a team including four people and expected to travel to the North of Vietnam at first. However, twos in our team got busy. On the other hand, there was a storm … Continue reading SINGAPORE – MY FIRST FOREIGN TRIP

# [PROJ 3] KINECT SCANNER

When I was in the third year at university, our team was assigned to a small project that required to design a Kinect scanner in order to implement 3D model of things. To simplify the task, we used the software Kinect SDK beta to construct the 3D model. At rest, we built electrical and electronic … Continue reading [PROJ 3] KINECT SCANNER

# LINEAR REGRESSION (1) – MATRIX INVERSE APPROACH

Hi everybody, Today, I would like to talk about the linear model for regression task in this post. While you have seperate labels (which may be (0 and 1) or (-1 and 1)) in classification tasks, the outputs in regression are continuous (i.e. they are arbitrary numbers lie in particular ranges). On the other hand, … Continue reading LINEAR REGRESSION (1) – MATRIX INVERSE APPROACH

# MACHINE LEARNING – WHAT IS THE DATA TELLING YOU?

Hi everyone, Once I mention the concept of Machine Learning (ML) to my friends, who doesn't work in the discipline of technology or data science, at least one of them think that it may be related to some characters on sci-fi like The Terminator, Wall-E, or recently, Ultron. In fact, it is partly true, that … Continue reading MACHINE LEARNING – WHAT IS THE DATA TELLING YOU?

# [PyTUT 5] ARRAYS IN PYTHON

Hi everyone, in this tutorial, I want to introduce another type of data in Python - array. Related topics Before beginning this tutorial, I recommend you should read the following topics: [PyTUT 2] NUMBERS AND OPERATORS [PyTUT 3] STRINGS [PyTUT 4] VARIABLES AND COMMENTS If you have already read these, let's start to know what … Continue reading [PyTUT 5] ARRAYS IN PYTHON