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What is No Code Machine Learning?

No Code Machine Learning refers to platforms and tools that allow users to build and deploy AI models without requiring programming knowledge. These tools democratize AI by enabling business users, analysts, and researchers to train models using intuitive interfaces, pre-built algorithms, and automated workflows.

Inference Attack
An inference attack is a cybersecurity threat where attackers deduce sensitive information from publicly available data. It is a major concern in AI models, differential privacy, and database security, requiring robust anonymization techniques to mitigate risks.
AIOps
AIOps refers to the use of artificial intelligence (AI) and machine learning (ML) to manage and automate IT operations. It enables organizations to process vast amounts of log and monitoring data from networks, applications, and servers to predict issues and resolve them autonomously. AIOps platforms provide functionalities such as event correlation, anomaly detection, automated remediation, and optimization. By reducing the burden on IT operations teams and improving system availability, AIOps plays a critical role in modern digital transformation strategies.
Cloud Computing
Cloud computing is the delivery of computing services—including servers, storage, databases, networking, and software—over the internet. It provides on-demand access to resources with scalability, flexibility, and cost efficiency. Cloud computing models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), enabling businesses to streamline IT operations and enhance innovation.

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