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

Travis Lawrence에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Travis Lawrence 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

4+ y ago 43:42

MP3•에피소드 홈

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 에피소드

#Tech #Podcasting Education #Travis Lawrence