概要 – In the age of digital transformation, predictive and prescriptive analytics are key to business success. 結果として, organizations are trying to extract the extreme insight from the data(specifically Bigdata).To accomplish the task of value extraction from Bigdata,…
概要 – 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…
概要 – Quantum computing has been an emerging technology with tremendous potential to revolutionize the way we process and analyze data. One of the most promising applications of quantum computing is in the field of machine learning, where it can…
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…
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…
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…
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 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…
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…
概要機械学習は、データから学習して予測を行うことができる特別なタイプのアルゴリズムです。,,en,さまざまなソースからより多くのデータを収集して取得するにつれて,,en,予測をより適切に行うことができます,,en. As we collect and get more data from various sources, the predictions can be made more appropriately. However, on the other hand, there…
概要ビジネスを大幅に改善する場合,,en,あなたは警戒する必要があります,,en,そのための最良の方法の1つは、ビッグデータの使用を日常業務に組み込むことです。,,en,これは,,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…
概要: 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…
概要: 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.…
