In this post, We will take a hands-on-lab of Pixels-to-Control Learning which is related on Deep Reinforcement Learning. This tutorial is the software lab, which is part of "introduction to deep learning 2021" offered from MIT 6.S191.
In this post, We will cover the basic syntax of julia language, and explore the data related on COVID-19. This is the summary of lecture "Introduction to Computational Thinking with Julia, with applications to modeling the COVID-19 Pandemic" from MIT.
In this post, we will use a K-means algorithm to perform image classification. Clustering isn't limited to the consumer information and population sciences, it can be used for imagery analysis as well. Leveraging Scikit-learn and the MNIST dataset, we will investigate the use of K-means clustering for computer vision.
In this post, we will dig into the strong NLP foundation through basic concepts like Tokenization, Stopword handling, Stemming and so on. We will use sklearn with Natural Language ToolKit (NLTK) package, which is widely used in NLP area.