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

محتوای ارائه شده توسط Travis Lawrence. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Travis Lawrence یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

3y ago 43:42

MP3•خانه قسمت

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 قسمت

#Tech #Podcasting Education #Travis Lawrence