From 99b158967fa5b14121ddc2982d0b2b1442c79338 Mon Sep 17 00:00:00 2001 From: Jay Prajapati <89218507+Jay2219@users.noreply.github.com> Date: Sun, 6 Oct 2024 18:54:37 +0530 Subject: [PATCH] Fix: Update dead link in section 4.2 Replaced the outdated link to Emil Wallner's guide on self-teaching machine learning with the new URL: https://www.emilwallner.com/p/no-ml-degree. Issue with Old URL: https://ibb.co/Lvkby33 --- contents/4.2-how-other-people-did-it.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/contents/4.2-how-other-people-did-it.md b/contents/4.2-how-other-people-did-it.md index ba1986e0..16aaf227 100644 --- a/contents/4.2-how-other-people-did-it.md +++ b/contents/4.2-how-other-people-did-it.md @@ -11,8 +11,8 @@ Many people have written about their career paths. Here are some of the stories 2. John Washam on how [he studied full-time for 8 months for a Google interview](https://www.freecodecamp.org/news/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13/) and got rejected before [he got an offer from Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu ). 3. After getting laid off, [Emma Ding](https://towardsdatascience.com/how-i-got-4-data-science-offers-and-doubled-my-income-2-months-after-being-laid-off-b3b6d2de6938) analyzed data science job listings, bucketed them into three groups based on their requirements: “Product Analytics”, “Modeling, and “Data Engineering”. She chose to enhance her resume and practice for Product Analytics roles. By the end of two frenzied months, she received a total of 10 interviews, 4 onsite interviews, and 4 job offers at Twitter, Lyft, Airbnb, and a healthcare startup. -4. Emil Wallner, a resident at Google Arts&Culture on [how he self-taught himself to become a machine learning researcher](https://blog.floydhub.com/emils-story-as-a-self-taught-ai-researcher/). His ideal curriculum is: “_Knowing how to code is a prerequisite. Then, I’d spend 1-2 months completing Fast.ai course V3, and spend another 4-5 months completing personal projects or participating in machine learning competitions._” +4. Emil Wallner, a resident at Google Arts&Culture on [how he self-taught himself to become a machine learning researcher](https://www.emilwallner.com/p/no-ml-degree). His ideal curriculum is: “_Knowing how to code is a prerequisite. Then, I’d spend 1-2 months completing Fast.ai course V3, and spend another 4-5 months completing personal projects or participating in machine learning competitions._”
Self-taught ML researcher -
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