概觀 – 在數字化轉型時代,en,預測性和規範性分析是業務成功的關鍵,en,組織正在嘗試從數據中提取極端見解,en,特別是BigData,en,從BigData完成價值提取的任務,en, predictive and prescriptive analytics are key to business success. As a result, organizations are trying to extract the extreme insight from the data(specifically Bigdata).To accomplish the task of value extraction from Bigdata,…
Quantum Machine Learning: Transforming Data Analytics
概觀 – In the consistently developing scene of innovation, the combination of quantum registering with AI and information science. Interference in Quantum Computing has introduced another time of uncommon conceivable outcomes. This cooperative energy, frequently referred to as Quantum AI…
Challenges and opportunities in quantum machine learning?
概觀 – 量子計算一直是一項新興技術,具有巨大的潛力,可以改變我們處理和分析數據的方式,en,量子計算最有希望的應用之一是在機器學習領域,en,它可以在哪裡,en. One of the most promising applications of quantum computing is in the field of machine learning, where it can…
chatgpt和生成的AI,en
ChatGPT and Generative AI Overview – ChatGPT is the new revolution in technology world. It is based on Generative AI model. Generative AI is a combination of AI algorithms to create new content based on the user input. The output…
上下文集成在預測分析中的作用是什麼,en?
Overview Context with predictive analytics is the key differentiator for any successful recommendation. It is not only the quality, availability or price of the product, but the ‘context’ (which is real time) that helps make the most appropriate recommendation to…
Understanding Machine Learning
We have heard the term ‘machine learning’ in different discussions and forums, but what does it exactly mean? Machine learning can be defined as a method for data analysis, based on pattern recognition and computational learning. It comprises of…
Impact of machine learning on teaching excellence?
Overview Machine learning can potentially redefine not only how education is delivered but also foster quality learning on the students’ part. Probably, the most important part in the role of machine learning in teaching is customized teaching. With machine learning,…
What’s the difference between AI & 機器學習?
What is artificial intelligence (AI)? Artificial intelligence is a part of computer science that can mimic human intelligence. The word Artificial intelligence refers to “Human-made thinking ability.” Thus, science is used to define artificial intelligence. AI system does not require…
Four levels of Artificial Intelligence (AI) – Achieved and Theoretical
Author – Kaushik Pal Overview Artificial intelligence (AI) and machine learning (ML) brings a revolution in computer science in the age of Big data. The data is the new fuel for business. And, extracting the insight from this data is…
Promises and drawbacks of machine learning
Overview Machine learning is a special type of algorithm which can learn from data and make predictions. As we collect and get more data from various sources, the predictions can be made more appropriately. 但, 另一方面, 那裡…
如何根據您的業務數據有效採取行動,en?
概述進行重大改進時,,en,你需要保持警惕,,en,最好的方法之一是將大數據的使用納入您的日常運營中,,en,這是,,en, you need to be alert. One of the best ways to do so is to incorporate the use of big data into your day to day operations. This is…
Artificial Intelligence Is Turning More Human Than Humans
概觀: As the years have passed, Artificial Intelligence has seeped in our lives to a great extent. As the advancements grow from new feeds to efficiency tools, the distance between what is human-made and machine-made is getting practically undetectable, bringing…
Data virtualization and complex large volume of data
概觀: The data virtualization industry has been growing fast, something that experts think is going to last. As data becomes one of the most important assets in business, corporations are looking for ways to get the best out of it.…