Machine Learning: Tools
Amazon, Microsoft, Google and IBM all provide AI and machine learning development platform on cloud service. All of them also give new customers free credits...
- Machine Learning
Machine Learning: Overview
Machine learning (ML) focuses on the using data and algorithms to enable Artificial Intelligence (AI) to imitate the way that humans learn, gradually improving its...
- Machine Learning
Machine Learning: Clustering
Machine Learning Clustering is an unsupervised machine learning method where data points are group with each other based on their similarity. Most importantly, data are...
- Machine Learning
Machine Learning: Classification
Machine Learning Classification is a supervised machine learning method where the model tries to predict the correct label of a given input data. In classification,...
- Machine Learning
Generative AI: Tools
Generative AI software, Large LLMs from big tech such as Chat GPT, Copilot and Gemini; and Small LLMs
- Generative AI
Generative AI: Overview
Generative AI, or Gen AI, produces high quality content—such as text, images, video, audio or software code—in response to a user’s prompt or request.
- Generative AI
Generative AI: LLMs in Business
LLMs in Business. Retrieval augmented generation (RAG): RAG references an authoritative knowledge base outside of its training data sources before generating a response.
- Generative AI
Data Analytics: Visualization
Data visualization is to present data in graphical form. It can reveal the essential characteristics of data that may not be apparent otherwise.
- Data Analytics
Data Analytics: Tools
Tableau and Microsoft Power BI are two most widely used data analytics and visualization software.
- Data Analytics
Data Analytics: Overview
For supply chain management, there is a tremendous amount of data in enterprise business information systems like ERP, SCM and CRM systems. Data Analytics is...
- Data Analytics
Data Analytics: Data Preparation
Data preparation, also called data wranling, is the process of retrieving, cleanning, integreting, transformaion and enriching data to support subsequent data analysis.
- Data Analytics