This article investigates the design methods used in distributed machine learning platforms and proposes future research directions. I collaborated with my students Kuo Zhang and Salem Alqahtani to complete this in the fall of 2016, and it will be presented at the ICCCN’17 conference in Vancouver. Machine learning (especially deep learning) has now achieved transformative … Read more
In today’s digital age, language processing technology is changing our lives and work at an unprecedented speed. From smart voice assistants to automatic translation software, from search engine optimization to sentiment analysis tools, the applications of natural language processing (NLP) are everywhere. Behind all this lies a key technology—the word vector model. Today, we will … Read more
In the wave of deep integration between big data and artificial intelligence, traditional machine learning workflows are showing signs of fatigue in the face of massive data! Don’t worry, the brand new intelligent Spark agent with the modular LangGraph framework is here! Deeply integrating Spark distributed computing, large language models, and innovative workflow architectures, it … Read more
Source: 51CTO.com ◆ ◆ ◆ Introduction In recent years, machine learning has begun to enter the mainstream in unprecedented ways. This trend is not solely driven by low-cost cloud environments or extremely powerful GPU hardware; in addition, the available frameworks for machine learning have also seen explosive growth. All these frameworks are open-source, but more … Read more