Always Mind the Domain Shift AI is one of the key techniques in this century that is considered to change our lives utterly. But such a complex technology as AI may not always behave as one might expect. one phenomenon continues to perplex even the most seasoned data scientists and AI practitioners: the challenge of […]
Machine Unlearning? Machine unlearning refers to the process in machine learning where given data or patterns are deliberately removed or forgotten. This could be necessary for various reasons such as data protection, privacy concerns, or model updates. While some machine learning models may naturally forget previous data or patterns as they learn new ones, there […]
Self-driving data Introduction We are witnessing unprecedented changes due to rapid technological advancements, with self-driving vehicles at the forefront of innovation. Maximizing the safety and efficiency of this groundbreaking mode of transportation poses a crucial challenge. At the heart of this lies the role of self-driving data. Therefore, not only is it essential to amass […]
AI and IoT Integration The combination of AI and the Internet of Things (IoT) is at the forefront of modern technological innovation, and their complementary strengths are revolutionizing our lives and industries. IoT is the technology that connects physical devices to a network to collect and exchange data, transforming everything in our lives into a […]
Encountering a plateau in your AI model’s accuracy can be frustrating, considering the fact that building an AI model itself requires great effort and resources. Overcoming a plateau is a common challenge in the AI world, yet not an overwhelming issue with the right strategies in hand. Here are 5 tips for you to grab […]
Medical Data & Privacy Issue Introduction In the medical field, innovation is inherently linked to ‘data.’ Synthetic Data is revolutionizing medical research and the development of treatment methods. Synthetic Data, or artificially generated data, overcomes the limitations of sensitivity and scarcity associated with actual patient data, providing researchers with the opportunity to utilize more data […]
To promote yourself to customers, you use various methods, among which social networking services (SNS) remain the hottest tool. Particularly for targeting younger generations, many companies are interested in leveraging data generated through SNS. However, the biggest challenge in acquiring and analyzing SNS data lies in privacy issues and the need for extensive preprocessing due […]
Data preprocessing is an essential step in the every ML/DL workflow. Before you fit models or perform analytics, your data must be ready for analysis. This guide will walk you through the basics of data preprocessing using Python. Importance of Data Preprocessing If you collects the real data, it rarely comes in clean formats and […]
Generative AI in Shopping Sales Shopping sales events offer attractive discounts to consumers while providing businesses with opportunities to increase revenue. However, as market competition intensifies, companies require more creative and effective marketing strategies. This is where the need for Generative AI becomes apparent. The shopping market is becoming increasingly competitive due to various sales […]