What You Should Know Before Getting Started With Data Science with DATA SCIENCE I N F I N I T Y

Building the Backend: Data Solutions that Power Leading Organizations

A tartalmat a Travis Lawrence biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Travis Lawrence vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

4+ y ago 43:42

MP3•Epizód kép

In this episode, we speak with Andrew Jones who has spent 13 years in Data Science at companies including Amazon & more recently Sony PlayStation where he developed and prototyped Machine Learning based features for the PlayStation 5, several of which have been patented by Sony. Since then he has created the DATA SCIENCE I N F I N I T Y community to support folks on there data science journey.
Top 3 Value Bombs:

85% of AI projects fail, one of the reasons is due to going too complex too soon. When solving problems with data science, you should always start with the business problem first.
Having a strong understanding of these foundational data science models will help you solve the majority of data science problems: linear regression, logistic regression, decision trees and, random forest
Learning is a journey not a destination :)

Find out more here: https://data-science-infinity.teachable.com/

43 epizódok

#Tech #Podcasting Education #Travis Lawrence