ML Tools and Frameworks for Non-Technical Users

In today’s world, machine learning (ML) is becoming essential for business and personal projects alike. However, many people who could benefit from ML lack technical skills. Fortunately, several tools and frameworks now make ML accessible for non-technical users, simplifying complex processes and helping users achieve insightful results without coding expertise.
One popular choice is DataRobot, an automated ML platform that enables users to build and deploy predictive models with minimal effort. Teachable Machine by Google is another tool, allowing users to create image, audio, and pose models without programming. For those in marketing or e-commerce, MonkeyLearn offers text analysis and sentiment analysis that can be easily integrated into business tools. Additionally, Microsoft Azure Machine Learning and Google AutoML provide powerful cloud-based ML solutions with user-friendly interfaces, making it possible to train and deploy models quickly.
These tools democratize ML, bringing predictive analytics and automation into reach for small businesses, educators, and individual users alike. As the landscape of ML evolves, non-technical users can now leverage the power of ML without needing to learn complex algorithms or code.