Getting Started With AI and Machine Learning

In this episode of the Engineer Innovation podcast AI Expert Justin Hodges and (not so expert) Stephen Ferguson explain how engineers can start using Artificial Intelligence and Machine Learning TODAY, and quickly achieve massive productivity savings and extra insight into their simulations. 
 
We talk about: 

Using ChatGPT to massively increase engineering productivity 

The key steps required to perform any AI or Machine Learning project 

Some common pitfalls 

A way to rapidly assess which AI approach is most useful for your project 

Learning resources that will allow you to get started in AI today 

This podcast is available to watch (including the Part 2 Demo) at https://www.youtube.com/playlist?list=PL1m1vu8_quoAqrddwd2i9HtPpp4xmWBzo.  
Here are the links to the resources mentioned in this episode: 

A bunny jumping on the back of a dog (created in Mid Journey AI) : https://www.midjourney.com/app/jobs/85804705-d9e5-47fe-aa57-1d5229bd9935/ 

Kaggle Machine Learning Competitions - including the Digit Recognizer competition in which Stephen ranked 563 : https://www.kaggle.com/competitions/digit-recognizer/overview 

Machine Learning Specialization Coursera: https://www.coursera.org/specializations/machine-learning-introduction 

Justin’s DataSet: https://www.kaggle.com/datasets/camnugent/california-housing-prices 

Lazy Predict: https://pypi.org/project/lazypredict/ 

Simcenter Studio: https://plm.sw.siemens.com/en-US/simcenter/integration-solutions/studio/ 

Justin’s LinkedIn profile: https://www.linkedin.com/in/justin-hodges-phd-3432a58b/ 

 
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.