I set up this account to track my data science journey. I have started a number of things and stopped halfway. I hope this doesn't become one of them!
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Joined December 2022
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I set up this account to track my data science journey. I have started a number of things and stopped halfway. I hope this doesn't become one of them!
Just wrapped up the "Visualize Data with Python" course at @Codecademy! 📊🐍 Explored the depths of Matplotlib and Seaborn, mastering various data visualization techniques. My highlight? The captivating portfolio project! Check out a quick overview below:
Glad to inform you all that I got in. The course made me "overprepared" for the entrance quiz. And I am glad I did it.
The @worldquantu Applied Data Science Lab is made up of 8 projects. Currently on the first. I will tweet more about this once I am done with the first project. Of course, without breaking the code of conduct!
As AI continues to rapidly develop, professionals will do better not to compete against it, but learn to optimise its use and boost their productivity!
Google Bard update is here! 🎉
New features include:
Extensions: Bard can now connect to your Google apps and services, such as Gmail, Docs, Drive, Maps, YouTube, and Google Flights and hotels.
This means you can get help with tasks like:
Planning a trip: Bard can help you find flights, hotels, and activities, and even generate a personalized itinerary.
Writing a document: Bard can help you with research, editing, and proofreading.
Coding: Bard can help you generate code, debug errors, and refactor your code.
Try it out today and see how Bard can help you with your work and personal life! #GoogleBard #AI
My Data Science Journey retweeted
I'm happy to be on the Time AI 100 list of influential people in AI, and thrilled that 8 others from my Stanford group or other teams I led are also named!
Congratulations to my former advisees and team members:
- Sam Altman @sama (as undergrad, interned with me on RL research at Stanford)
- Dario Amodei @Dario_Amodei (worked with me on DeepSpeech and scaling laws at Baidu)
- Alison Darcy @alisonmdarcy (AI+mental health at Stanford)
- Geoff Hinton @geoffreyhinton (member of my team at Google Brain)
- Lila Ibrahim @lilaibrahim (once my COO at Coursera)
- Neal Khosla @nealkhosla (undergrad advisee at Stanford)
- Richard Socher @RichardSocher (PhD advisee with Chris Manning)
- Ilya Sutskever @ilyasut (postdoc at Stanford)
It's thrilling to see the ongoing impact of everyone's work! ❤️ – at Loyola, CA
Today, I started the Introduction to Probability Distributions on @Codecademy. Focused on calculating probabilities with Python, probability mass functions (binomial distribution).
We went through the main graphs, pie charts, bar charts, scatterplot, histogram, kdeplot, and boxplots.
The course ended with a portfolio project, which I am excited to tweet about!!
Just wrapped up the "Visualize Data with Python" course at @Codecademy! 📊🐍 Explored the depths of Matplotlib and Seaborn, mastering various data visualization techniques. My highlight? The captivating portfolio project! Check out a quick overview below: