Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
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İçerik The Seedcamp Podcast and Carlos Espinal tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan The Seedcamp Podcast and Carlos Espinal veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Player FM uygulamasıyla çevrimdışı Player FM !
Player FM uygulamasıyla çevrimdışı Player FM !
[Seedcamp Firsts] How to A/B Test Product Changes and Set up Good Data Science Practices
MP3•Bölüm sayfası
Manage episode 405120501 series 1340978
İçerik The Seedcamp Podcast and Carlos Espinal tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan The Seedcamp Podcast and Carlos Espinal veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
In a follow-up to their Seedcamp Firsts conversation on data, our Venture Partner Devin Hunt and Candice Ren, Founder of analytics agency 173Tech and a member of the Seedcamp Expert Collective, dive deep into A/B testing and good data science practices. With new and exciting AI technology emerging around recommendation engines, how can product leads evaluate which solution is better and how to really measure a “better recommendation”? Focusing on a specific case study - a furniture marketplace, Candice, who worked on A/B testing and recommendation engines for Bumble, Plend Loans, MUBI, Treatwell and many others, shares her thoughts on: - the intricacies of setting up and analyzing an A/B test experiment focused on comparing two different recommendation algorithms - how you set your hypothesis - the best way to segment your user basis - how to select what you are controlling for (e.g. click-through rate) - how to interpret test results and consider broader business metrics impact. Candice and Devin also emphasize the importance of granular testing, proper test design, and documentation of test results for informed decision-making within a company's testing framework.
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continue reading
289 bölüm
MP3•Bölüm sayfası
Manage episode 405120501 series 1340978
İçerik The Seedcamp Podcast and Carlos Espinal tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan The Seedcamp Podcast and Carlos Espinal veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
In a follow-up to their Seedcamp Firsts conversation on data, our Venture Partner Devin Hunt and Candice Ren, Founder of analytics agency 173Tech and a member of the Seedcamp Expert Collective, dive deep into A/B testing and good data science practices. With new and exciting AI technology emerging around recommendation engines, how can product leads evaluate which solution is better and how to really measure a “better recommendation”? Focusing on a specific case study - a furniture marketplace, Candice, who worked on A/B testing and recommendation engines for Bumble, Plend Loans, MUBI, Treatwell and many others, shares her thoughts on: - the intricacies of setting up and analyzing an A/B test experiment focused on comparing two different recommendation algorithms - how you set your hypothesis - the best way to segment your user basis - how to select what you are controlling for (e.g. click-through rate) - how to interpret test results and consider broader business metrics impact. Candice and Devin also emphasize the importance of granular testing, proper test design, and documentation of test results for informed decision-making within a company's testing framework.
…
continue reading
289 bölüm
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Player FM şu anda sizin için internetteki yüksek kalitedeki podcast'leri arıyor. En iyi podcast uygulaması ve Android, iPhone ve internet üzerinde çalışıyor. Aboneliklerinizi cihazlar arasında eş zamanlamak için üye olun.