With the JMP Student Edition, academic researchers get no-cost access to all JMP Pro capabilities, such as Python integration and more advanced tools for building machine learning models. This webinar will demonstrate advanced analytical applications for researchers in Chemistry, Chemical Engineering, Materials Science, and related fields by enhancing JMP Student Edition’s native features with free add-ins, e.g., for XGBoost, predictions based on SMILES, or deep learning – all without any need for coding.

In this webinar, you will learn about:

• Leveraging JMP’s Python integration features

• Using add-ins, e.g., for XGBoost or SMILES

• Building QSAR models

• Making predictions from spectrogram images through deep learning

Get JMP software free for academic use at jmp.com/student