By JIANG Buxing In conventional reporting architecture, a reporting tool is connected directly to data sources, without a data computing layer in between. Most of the t...
We are all familiar with machine learning in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better shopping and m...
We are all familiar with machine learning in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better shopping and m...
The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of da...
Time-series data arise in many fields including finance, signal processing, speech recognition and medicine. A standard approach to time-series problems usually requires ...
First it was Machine Learning, and now all of a sudden Deep Learning is taking all the thunder even from Machine Learning. So what’s the difference, and why all of ...
Generative adversarial networks (GANs) are a class of neural networks that are used in unsupervised machine learning. They help to solve such tasks as image generation fr...
Top Neural Network Algorithms Learning of neural network takes place on the basis of a sample of the population under study. During the course of learning, compare the v...
The problem Given a set of labeled images of cats and dogs, a machine learning model is to be learnt and later it is to be used to classify a set of new images ...
Summary: This is the first in a series about Chatbots. In this first installment we cover the basics including their brief technological history, uses, basic design c...