Noise VS Bias in Data | Female Data & ML creators | You are who you want to be | Visual Storytelling

Hi there!

Here's what I am talking about this month:

1. Cassie Kozyrkov
1. ML course (part 1: [https://www.youtube.com/watch?v=fgF6XzcK3jw], part 2: [https://www.youtube.com/watch?v=bk2i5AIz-us])
2. Blog - [https://kozyrkov.medium.com/]
2. Fullstack React with Typescript [https://www.newline.co/fullstack-react-with-typescript]
3. Amelia Wattenberger - D3.js book and course - [https://wattenberger.com/]
4. Damsel in Data - [https://www.youtube.com/channel/UCenqe6Cvfd47aHAOb9Qe8yA]
5. Not rocket science - technical ML blog from Olga (blog: [https://bit.ly/2VzSSRP], instagram: [https://www.instagram.com/eat.love.write/])
6. Storytelling course [https://www.instagram.com/kharytonovaa/]
7. Noise, book by Daniel Kahneman, Cass R Sunstein, Olivier Sibony
8. Eating Animals, book by Jonathan Safran Foer

00:00 Good morning
01:50 Noise by Daniel Kahneman, First impressions
02:50 Getting to the city
04:03 One of the life-changing decisions of 2020
05:08 How stereotypes stopped me from doing things I would later like
06:16 Don't think of yourself as 'that kind of person'
07:55 Why do I always suggest Cassie Kozyrkov to people in the data industry
09:59 Book about React
10:14 Visualization with D3.js by Amelia Wattenberger
11:04 Fellow Youtuber Damsel in Data
11:42 ML Engineer with technical blog
13:20 Visual Storytelling course
14:31 Part 2
15:04 Why I didn't like Noise by Daniel Kahneman
17:07 Eating animals
18:33 Getting randomly annoyed at the noises around
19:53 I couldn't get a coherent opinion about the book
21:37 Trying to remind me that all my feelings are valid
22:20 Balance board and more whining. The blurry appearance of a local deer

Видео Noise VS Bias in Data | Female Data & ML creators | You are who you want to be | Visual Storytelling канала Anastasia K