The Partnership Economy explores the power of partnerships through candid conversations and stories with industry leaders. Our hosts, David A. Yovanno, CEO and Todd Crawford, Co-founder, of impact.com, unpack the future of partnerships as a lever for scale and an opportunity to put the consumer first.
…
continue reading
内容由Klaviyo Data Science Team提供。所有播客内容(包括剧集、图形和播客描述)均由 Klaviyo Data Science Team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
Player FM -播客应用
使用Player FM应用程序离线!
使用Player FM应用程序离线!
Klaviyo Data Science Podcast EP 2 | Starting out in Data Science
Manage episode 317314474 series 3251385
内容由Klaviyo Data Science Team提供。所有播客内容(包括剧集、图形和播客描述)均由 Klaviyo Data Science Team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode, we discuss how our careers in data science began, lessons we’ve learned along the way, and mistakes we’ve made and learned from. You can expect to hear:
- When we stopped wanting to be astronauts and started wanting to be data scientists
- Advice we’d give to anyone just starting in the field
- Advice we’d give to anyone currently at the helm of a dinosaur-based movie franchise
Resources
We mention a few books and other resources in the course of this episode. Check them out here:
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman: https://web.stanford.edu/~hastie/ElemStatLearn/
- Statistical Rethinking by Richard McElreath: https://xcelab.net/rm/statistical-rethinking/
- Linear algebra: Foundations to Frontiers on edX: https://www.edx.org/course/linear-algebra-foundations-to-frontiers
- Blog posts: http://www.terran.us/talks/201808_successful_project.pdf, https://www.fast.ai/2018/07/12/auto-ml-1/, https://eng.lyft.com/whats-in-a-name-ce42f419d16c
47集单集
Manage episode 317314474 series 3251385
内容由Klaviyo Data Science Team提供。所有播客内容(包括剧集、图形和播客描述)均由 Klaviyo Data Science Team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode, we discuss how our careers in data science began, lessons we’ve learned along the way, and mistakes we’ve made and learned from. You can expect to hear:
- When we stopped wanting to be astronauts and started wanting to be data scientists
- Advice we’d give to anyone just starting in the field
- Advice we’d give to anyone currently at the helm of a dinosaur-based movie franchise
Resources
We mention a few books and other resources in the course of this episode. Check them out here:
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman: https://web.stanford.edu/~hastie/ElemStatLearn/
- Statistical Rethinking by Richard McElreath: https://xcelab.net/rm/statistical-rethinking/
- Linear algebra: Foundations to Frontiers on edX: https://www.edx.org/course/linear-algebra-foundations-to-frontiers
- Blog posts: http://www.terran.us/talks/201808_successful_project.pdf, https://www.fast.ai/2018/07/12/auto-ml-1/, https://eng.lyft.com/whats-in-a-name-ce42f419d16c
47集单集
所有剧集
×欢迎使用Player FM
Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。