Blog

IoT and Mobile Computing

Internet of Things: How did we get here?

IoT Platforms

Considerations of an Industrial Mobile Computing System

Data Mining and Machine Learning

Basics

Machine Learning Basic Tutorial

Association Between Variables

Data Preprocessing

Loss Functions

Model Evaluation

Bayesian Learning on the Candy Example

Unsupervised Learning (Clustering)

Clustering Summary

Clustering

Kernel Methods

Kernel Methods and Multiple Kernel Learning

Ensemble Learning

AdaBoost

Gradient Boosting for Regression

Representation Learning

Representation Learning

Embedding

Deep Learning

RNN and LSTM

GAN

Attention-based Models

Reinforcement Learning

Reinforcement Learning Basics

Markov Decision Processes

Framework and Technologies

Softmax on Digits Data with TensorFlow

Privacy and Security

GDPR

Advanced Topics

Semi-Supervised Methods

Small Data

Others

Graph Theory: Basic Concepts

Time Series: Digital Filter