Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses.
London, UK
Joined October 2018
- Tweets142
- Following88
- Followers108
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Coefficient retweeted
🎉 I'm excited to announce the launch of Fairness Tales, a new project aiming to combat AI bias in recruitment.
By @CoefficientData + @Baystastic. Funded by @innovateuk. See 🧵 for our London roundtable on 20th Aug.
Subscribe here 👇
fairnesstales.com/p/issue-1-… #AIEthics #AIForGood
Coefficient retweeted
Civic AI Observatory by @nwspk & @nesta_uk has been writing 👌 phenomenally 🤌 good newsletters packed with resources on how to use AI to become more productive + organisational policies you can steal/adapt to your needs.
See comments for links 👇
lu.ma/CivicAI-24apr24
Coefficient retweeted
🚀 Announcing the Deepfake Detection Challenge! 🤖
We've been working @CoefficientData in partnership with ACE, @ukhomeoffice, @SciTechgovuk, @turinginst, @faculty_ai, @Plexalcity & @Hackmasters to tackle the ever-evolving threats from #GenAI #deepfakes.
Register below 👇🧵
Coefficient retweeted
🎄 Python Advent Calendar Day 1 - Master notifications with Python ! 🐍
Full details 👉 py-advent-calendar.beehiiv.c…
Highlights in 🧵 👇
(Get notified 🔔 in our newsletter👉 py-advent-calendar.beehiiv.c…)
#ai #python #PythonAdventCalendar #machinelearning #datascience #advent
Coefficient retweeted
🎄Python Advent Calendar Days 2️⃣ & 3️⃣ Recap! 🐍
Missed what we unwrapped? 👀
Let's take a quick look back at the Python packages we explored 🧵👇
(Subscribe now! 👉 py-advent-calendar.beehiiv.c…)
#PythonAdventCalendar
Coefficient retweeted
Llama 2 is out, available for free for research and *commercial* use. Here's how it performs, try it for yourself here: llama2.ai/
Coefficient retweeted
🤯 We had 280 registrations for today's live webinar on How To Build Your Own Private ChatGPT Using @Streamlit, @langchain & #Vicuna!
I've open-sourced all the code, demos and notebooks in a repo here: github.com/CoefficientSystem…
You can watch the webinar again, link in 🧵👇
Coefficient retweeted
Tomorrow I will be showcasing how to build your own private ChatGPT using @streamlit , @langchain and the #Vicuna open-source #LLM!
Join me tomorrow for this FREE 30-MINUTE LIVE TUTORIAL
📆 Thu 22nd June at 12:30-13:00 BST, register here 👉
app.session.com/coefficienta…
Coefficient retweeted
⏳️ Two days to go! Thursday 18th May 12:30-13:00 BST. Modern Data Stack, ETL, ELT, data lake, automation, GPT...I'll explain what they mean, in plain English, with a demo of a real-world application for a sales team.
🎟 Book your free spot here: bit.ly/3ntsw1I
Coefficient retweeted
On Thursday 18th May at 12:30 BST I’ll be launching our Lunch & Learn series with a rundown of how you can take your sales game to the next level by turbo-charging it with data-driven insights, automation and AI.
Register here 👉 bit.ly/3ntsw1I
Coefficient retweeted
Looking forward to showing @GeoPythonConf how to create an on-demand “SharePoint-as-an-Interface” pipeline for automated data processing using GitHub Actions for secure free cloud compute.
Code is here 👉 github.com/john-sandall/geop…
#GeoPython #GeoPython2023 #Basel 🇨🇭🪨🐍
Coefficient retweeted
I'm excited to announce that @CoefficientData has been working with the Chartered Institute of Taxation @CIOTNews to create a new "Diploma in Tax Technology" to future-proof tax professionals with digital skills.
You can watch along the launch event here: ciotditt.tsc.events/registra…
Last chance to register for the CIOT Diploma in Tax Technology virtual launch on Mon 21 Nov. Learning and certification for tax advisers and professionals facing digitalisation in taxation. Featuring keynote speaker Dr Daniel Susskind. Register at: tax.org.uk/ditt
Coefficient retweeted
pythondeadlin.es by @JesperDramsch crowdsources #Python conference application deadlines and puts them in your calendar.
This could help a lot with speaker diversity by reducing barriers, saving time, making it easier for time-poor people to get a proposal in on time.
This Post is from an account that no longer exists. Learn more
Coefficient retweeted
I've been heavily involved with organising this year's #PyDataLondon 2022 conference. Here's a summary of everything that's happening, it's going to be an amazing weekend of ☀️ sun, 🥼 scientific computing & 🛟 supporting our amazing team of volunteers!
Come if you can 🥳
🧵 #PyDataLondon 2022 starts tomorrow! If you'd like to join us this weekend, please note tutorial tickets are sold out but some weekend tickets are still available.
Why come? Here's a full run-down of what you can expect this weekend... 1/n
Coefficient retweeted
It’s incredibly rewarding helping people to figure out what they’re good at, what they love, what they don’t, what their ideal career path might be…and then helping them get there. If that’s not with @CoefficientData, I’m glad we got to be a stepping stone on your journey.
Coefficient retweeted
I interview a lot of data scientists/engineers for @CoefficientData and our clients. If anyone I interview asked me these kind of questions, if anything it would absolutely strengthen your application.
Being diligent in decision making is a great characteristic for data roles!
Coefficient retweeted
Here are some Python 🐍 tools for real-life productivity.
I was listening to @TalkPython episode 327 🎙️.
In this episode, @mkennedy was joined by 4 other panelists and they discussed some cool Python projects they built.
Here are some useful modules they mentioned 👇💬
Coefficient retweeted
Coefficient Systems are hiring a Data Scientist ✨
"You can expect hands-on experience of delivering data science & engineering projects for our clients as well as working on our own products"
buff.ly/3AAmKwW
@CoefficientData
Coefficient retweeted
🚨 HIRING NEWS 📰
At @CoefficientData we are now looking for:
1⃣ Full-Stack #Django Engineer (perm, £40k-£60k)
2⃣3x Data Engineers (3mo contract)
3⃣Business Development Manager (perm)
DM myself or @CoefficientData to find out more, or apply here: coefficient.ai/jobs
Coefficient retweeted
Well, here goes nothin’! I was asked to open source the career ladders I used for my organization, I hope it’s a helpful resource for people:
📝 Article: css-tricks.com/the-importanc…
📍 Site: career-ladders.dev/
A little thread with some thoughts about this 🧵
