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

Вміст надано Travis Lawrence. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Travis Lawrence або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

3y ago 43:42

MP3•Головна епізоду

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 епізодів

#Tech #Podcasting Education #Travis Lawrence