Learn Data Science
@LearnDSML
The meetup group for people who want to LEARN Data Science - taking online courses & reading books together with some hands-on workshops.
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We are holding the Reading Group meeting (online & in-person) on Tue, Jan.24, 2023. Our group discussion is based on the reading: SIGIR 2016 Counterfactual Evaluation & Learning dl.acm.org/doi/10.1145/29… For joining us , RSVP here: meetup.com/learndatascien…
As for image generative models such as DALL-E2. A lot of those techniques were initially invented by physicists, which have become very important in machine learning. Some of those physicists are Jascha Sohl-Dickstein, Yang Song & Jonathan Ho. quantamagazine.org/the-physics-pr…
AI is designed to assist with real-life decision-making when data involved are beyond human comprehension. According to HBR journal, AI is not ready to assume human qualities & considerations that guide the course of business, life & society at large yet. hbr.org/2022/09/ai-isn…
We are holding the Reading Group meeting (online & in-person) on Tue, Jan.10, 2023. Our group discussion is based on the reading: Unsupervised Learning From Incomplete Measurements for Inverse Problems arxiv.org/abs/2201.12151 For joining us , RSVP here: meetup.com/learndatascien…
Thank you for being with Learn Data Science this year. Let's begin our new journey with enriching and abundant learning and experiences in 2023. Happy New Year, everyone! #newyear2023 #learning #2023vision #datascience
Claude Shannon was a rare individual. With a single groundbreaking paper, he laid the foundation for the entire communication infrastructure underlying the modern information age. So how did he make the impact to the future of our time? quantamagazine.org/how-claude-sha…
What contents do you want to see more often from Learn Data Science?
Season's Greetings! May the Holiday Season bring happiness and joy to you all. Happy Holiday and let's watch Python draw a Christmas Tree 🎄 ✨ 🎉 Python Source: copyassignment.com Music Source: Infaction
The live stream recording of our Nov. Lightning Talks was released in YouTube, featuring Sumit Meghlani (FIRST E.A.D) /Nicole Hong (ML for Insightful Search Engine) /Bill Tubbs (Smoothing a Signal) /Robin Chauhan (Clinical Decisioning) Please check it out! youtube.com/watch?v=p30f7P…
youtube.com
YouTube
Data Science Lightning Talks: November 2022 Edition
On the flip side, data science can mean something humorous and apparently, it is available in a cushion, mug, mouse pad, and so much more! What is your data science humour? #datascience #data #normaldistribution
Using Python, you can create a model representing the supply chain network to optimize operations and support strategic decisions. This model is called a Supply Chain Digital Twin. What is this model and how can we create it? Let’s find out! towardsdatascience.com/what-is-a-supp…
towardsdatascience.com
What is a Supply Chain Digital Twin? | Towards Data Science
Discover digital twins with python: model supply chain networks, enhance decision-making & optimize operations.
ChatGPT was launched by OpenAI on Nov.30. Less than a week later, it is generating buzz around the internet, already crossing over 1 million users. Will it pose a threat to Google & other business models? Will it become sustaining or disruptive innovation? zdnet.com/article/what-i…
Notion AI, a brand new GPT-3-powered writing assistant that can generate any type of content, was released by Notion on Nov.16. What can Notion AI do? It can help you write pretty much everything and do more than just writing. Let's find out more! thomasjfrank.com/notion-ai-guid…
thomasjfrank.com
Notion AI is Here: 10 Ways to Use This Powerful New Tool
Notion's new AI tools can translate text, generate blog posts, and more. Here are 10 ways to use Notion AI, plus all your questions answered.
We are discussing this paper at our online meeting on December 13! For some insight from the lead author 💡📙🖊️
Reliance on metrics is a fundamental challenge for AI, with David Uminsky @DSI_UChicago @Patterns_CP
'Reliance on metrics is a fundamental challenge for AI' is about optimizing AI metric, which is a central aspect of most current AI approaches. And yet overemphasizing metrics leads to manipulation, gaming & myopic short-term focus. Join us for our online discussion on Dec13!
Learn Data Science is holding the online Reading Group meeting on Tuesday, December 13. Our group discussion is based on the reading: The Problem with Metrics is a Fundamental Problem for AI arxiv.org/abs/2002.08512 For joining us online, RSVP here: meetup.com/learndatascien…
A Guide On How To Become A Data Scientist - (Step By Step Approach) adi-ag321.medium.com/a-guide-on-how… #DataScientist
adi-ag321.medium.com
A Guide On How To Become A Data Scientist - (Step By Step Approach)
A condensed list of Resources
Learn Data Science is holding the online Reading Group meeting on Tuesday, December 13. Our group discussion is based on the reading: The Problem with Metrics is a Fundamental Problem for AI arxiv.org/abs/2002.08512 For joining us online, RSVP here: meetup.com/learndatascien…
We read 'Monolith: Real Time Recommendation System With Collisionless Embedding Table' (arxiv.org/abs/2209.07663) as a group last night. Great paper for learning about the architecture of the TikTok's recommendation system!
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