Build, train, test and deploy AI models to classify fashion items using Google Teachable Machine. Build, train and deploy advanced AI to detect Diabetic Retinopathy disease using DataRobot AI. Leverage the power of AI to solve regression tasks and predict used car prices using DataRobot AI. Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate. Understand the theory and intuition behind Residual Neural Networks (ResNets), a state-of-the-art deep NNs that are widely adopted in several industries.

Build, train, test and deploy AI models to classify fashion items using Google Teachable Machine. Build, train and deploy advanced AI to detect Diabetic Retinopathy disease using DataRobot AI. Leverage the power of AI to solve regression tasks and predict used car prices using DataRobot AI. Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate. Understand the theory and intuition behind Residual Neural Networks (ResNets), a state-of-the-art deep NNs that are widely adopted in several industries.

Do you want to leverage the power of Machine Learning without writing any code? Do you want to break into Machine Learning, but you feel overwhelmed and intimidated? Do you want to leverage Machine Learning for your business, but you don't have data science or mathematics background? If the answer is yes to any of these questions, you came to the right place! This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale.

This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale. Machine Learning is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Machine learning is the study of algorithms that teach computers to learn from experience. Through experience (i.e.: more training data), computers can continuously improve their performance.