Nigel Warburton asked me which are my favourite 5 #books on digital ethics (#AIethics) for the general public. Included in the interview are books by Joanna Kavenna, Cathy O'Neil, @safiyanoble, @chrisinsilico, @MCoeckelbergh, @ShannonVallor, @ruha9, and @katecrawford.
Hi Jupyter Community!
We are excited to announce that the CFP for talks at JupyterCon 2023 is OPEN.
Join us for 3 days of talks, tutorials, and networking! Please submit your proposal before December 15th, 2022. See you there 🎉
https://t.co/6x0upMmyJk
Programming isn't so much about conveying to machines instructions for how to do a thing. It's more about building clear mental models of the thing. That's the hard part. Writing the code and running it can be a tool to shape your own thinking.
Join us on October 1-2, 2022
First-ever BWD Summit
Come to Atlanta or attend online.
Buy a tix, gift a tix
Check out the schedule and speakers 👉🏾 https://t.co/flJgPPAFSJ
Machine Learning for Intelligent Systems - Cornell CS4780
~37 great lectures covering a wide range of algorithms and techniques in classical machine learning & deep learning.
Lectures: https://t.co/0W5wonwGnx
Notes: https://t.co/QTKR9wcgHB
#numpy is an irreplaceable part of every practitioner's Deep Learning toolkit.
The best way to learn NumPy that I know of is this crash course
If NumPy is new to you - definitely include this early in your #100DaysOfMLCode - you won't regret it!
https://t.co/VDz3SRk9Yq
🚨 DataLemur is LIVE! 🚨
Solve 50+ SQL Interview questions from companies like Facebook, Amazon, and Google for FREE!
Even if you aren’t on the job hunt, DataLemur is still a great place to practice your #SQL skills on tricky problems: https://t.co/xYAsJs9Wxq
Giving away the 33 SQL Interview Questions from my book Ace the Data Science Interview!
It features real SQL questions asked by FB, Google, & Amazon (with full solutions!)
To get access:
Like this Tweet + Comment ���SQL”
(Last time my auto-DM bot messed up, so re-posting this)
🚨Less than one week left for our Data Visualization bundle with @humble!
📊22 incredible eBooks to help you extract, explore and analyze your data! The best part: every purchase supports @GirlsWhoCode.
✅https://t.co/uaiekozXEj✅ #dataviz#GivingTuesday@BecomingDataSci