Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses.
π 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 π§΅ for our London roundtable on 20th Aug.
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https://t.co/dCPS30iyPy #AIEthics#AIForGood
Civic AI Observatory by @nwspk & @nesta_uk has been writing π phenomenally π€ 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 π
https://t.co/4gMjr7rlkR
For a full working demo of each of these packages, check out our GitHub Repo: https://t.co/JGJllHosov
Day 8 is upon us, with yet another exciting package awaiting your discoveryπ‘
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π Python Advent Calendar Day 7οΈβ£ π
Missed what we unwrapped? π
Let's take a quick look back at the Python package we explored π§΅π
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Pytrends helps you to...
πCurate Google Trends data into your DataFrames
πAnalyze global interests
πSpot market trends
π₯Track health campaigns
πPlan your content strategy
πDesign your fashion line
.....and much more π
For a full working demo of each of these packages, check out our GitHub Repo: https://t.co/JGJllHosov
Day 7 is upon us, with yet another exciting package awaiting your discovery π‘
Stay tuned for more Python gifts! π #Python#AI#ML#Data#Advent#DataScience
π Python Advent Calendar Day 6οΈβ£ ! π
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For a full working demo of each of these packages, check out our GitHub Repo: https://t.co/JGJllHp0e3
Day 6 is upon us, with yet another exciting package awaiting your discovery π‘
Stay tuned for more Python gifts! π
#Python#AI#ML#Data#Advent#DataScience
π Python Advent Calendar Day 5οΈβ£ ! π
Missed what we unwrapped? π
Let's take a quick look back at the Python package we explored π§΅π
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β° Joblib (https://t.co/N4iHbtfgSd) : 3.5k βοΈ
Simplify caching, parallelization, and serialization with Joblib! π
β NumPy-friendly caching & memoization
β Easy parallelization of for loops
β Efficient serialization of complex or large objects
For a full working demo of each of these packages, check out our GitHub Repo: https://t.co/JGJllHosov
Day 5 is upon us, with yet another exciting package awaiting your discovery π‘
Stay tuned for more Python gifts! π
#Python#AI#ML#Data#Advent#DataScience
π Python Advent Calendar Day 4οΈβ£π
Missed what we unwrapped? π
Let's take a quick look back at the Python package we explored π§΅π
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Boosting standard library modules, specific types, filesystem, I/O, JSON, caching, type handling, maths, stats - it's all in there β¨
Even debugging, garbage collection, mailboxes, priority queues, sockets, tracebacks are covered π