Demystifying Data Science Model Training Part I: Understanding the Algorithm, the Model and the Training
I have the opportunity to interview data science expert Wajid Khattak from Jaguar Land Rover who helps us understand exactly happens behind the scenes when models are trained (and retrained) as part of machine learning and AI systems. Wajid also elaborates on the the role of the algorithms and the importance of choosing the right algorithm before model training begins. This is part one of a two-part conversation with Wajid.
These topics were individually covered in the following videos. You can also listen to the entire audio podcast at Spotify, Google Podcasts and Apple Podcasts.
About the Contributors
Wajid is a hands-on data science expert, data strategist, published author, and a seasoned software engineer with over 16 years of industry experience. Wajid is currently working for Jaguar Land Rover as a Technical Specialist in the Prognostics Pattern Recognition Area of the Vehicle Health Domain.
Follow Wajid: www.garudax.id/in/wajid-khattak-7246684a/
Thomas Erl is a LinkedIn Top Voice, a best-selling IT author and an AI and Technology Education Specialist with Arcitura. He oversees the "Pearson Education Digital Enterprise Book Series from Thomas Erl", acts as the Senior AI Consultant for Transformative Digital Solutions, and is a LinkedIn Learning Content Developer and Instructor.
Follow Thomas: www.garudax.id/in/thomaserl
Courses by Thomas: www.garudax.id/learning/instructors/thomas-erl
Books, Videos, Podcasts by Thomas: www.thomaserl.com
