AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML)

Many organizations want to do AI, but the technical skills needed can present a challenge. Not all organizations have data scientists on hand. Yet, many organizations still want to benefits of AI. In recent years there have been tools and platforms created to help automate many of the aspects of building and developing ML models that previously required very specialized skills and talent. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Automated Machine Learning (AutoML). Tools and platforms used to help automate many aspects of building and developing machine learning models as well as underlying data is AutoML in a nutshell. These tools can be used by experienced practitioners or so called “citizen data scientists”. Show Notes: FREE Intro to CPMAI mini course CPMAI Training and Certification AI Glossary AI Glossary Series - DevOps, Machine Learning Operations (ML Ops) AI Glossary Series - Model Tuning and Hyperparameter Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU Glossary Series: Perceptron Glossary Series: Hidden Layer, Deep Learning Glossary Series: Loss Function, Cost Function & Gradient Descent Glossary Series: Backpropagation, Learning Rate, Optimizer Glossary Series: Feed-Forward Neural Network AI Glossary Series - Machine Learning, Algorithm, Model AI Glossary Series - Model Tuning and Hyperparameter