AI Governance Software. Machine Learning Assurance.
Boston, MA
Joined July 2019
- Tweets1.2K
- Following168
- Followers221
- Likes363
Monitaur retweeted
Are you ready for ethical and responsible AI? Look no further than Monitaur. #AIresponsibility #GovernML #AuditML @monitaurai | give them some love: domore.ai/tools/monitaur.ai and vote them up for the tool of the month!
Monitaur retweeted
Great webinar on #AI bias from @MonitaurAI earlier this week. Good combination of the difficulties defining bias as well as a technical description of bias tests.
Monitaur retweeted
🔥 2 New #remote #Techjobs @monitaurai
Apply now → womenwhocode.com/jobs?query=…
#frontend #backend #python #machinelearning #AI #remotejobs
Monitaur retweeted
Congrats to all of our alumni cos. who have collectively raised over $100M in funding over the last three months! 💸🎉
⚡️ @sparkcharge - 2018
🩺 @careacademyco - 2017
💻 @MonitaurAI - 2020
🚢 @tiveInc - 2017
🧬 @HavenRx - 2021
♻️ @thefuturescore - 2021
Monitaur retweeted
Monitaur releases AI governance platform ift.tt/kYZ2ts6
Monitaur retweeted
How AI regulation is developing in the insurance industry wp.me/p8wLEc-bwcU by Anthony Habayeb
Monitaur retweeted
#IT can still test without access to underlying source #code. Use #agile acceptance testing, address the business logic, and adopt test platforms with #MachineLearning — by @nyike.
trib.al/FUCkRiA
Monitaur retweeted
Our latest selection of recommended articles covers a lot of ground, from overfitting and supply-chain issues to AI bias, and includes @divya_gopinath's post on explainability techniques and a lively discussion featuring @mmitchell_ai and @jeremiecharris. buff.ly/3Bovtl5
Monitaur retweeted
10 Standard Datasets for Practicing Applied Machine Learning machinelearningmastery.com/s…
Monitaur retweeted
Twitter is the closest we have to a human neural network
Each of us are nodes in the collective network…
Transforming the information we receive with our weights and biases and propagating it to others
Monitaur retweeted
"The Lifecycle View of Trustworthy AI" co-authored with @oliviadoesnlp. We outline what needs to happen in the second act of toolkits for trustworthy AI (fairness, explainability, robustness, privacy, uncertainty quantification, causal inference).
medium.com/ibm-data-ai/the-l…
Monitaur retweeted
Is There a Feature Store Over the Rainbow? by Byron Allen buff.ly/3vLz8bG
Monitaur retweeted
Data validation is a key component in ensuring the quality of your pipeline, and @felipeadachi has a step-by-step guide to building it into your workflow using whylogs and GitHub actions. buff.ly/3D6GqZO
Monitaur retweeted
Practical machine learning recipe:
1. Understand the problem
2. Determine performance goal
3. Collect and prepare data
4. Compute a baseline
5. Build a model that beats it
From this point, iterate until "good enough":
6. Tune your data and model
7. Measure, update baseline
Monitaur retweeted
Great summary of ML & DL, starting with perceptrons in 1950's.
And in particular, a great summary of the latest developments re architectures for SOTA computer vision:
CNNs -> visual transformers -> MLPs again without attention or convolutions -> CNNs again (ResNets tuned well)
Monitaur retweeted
Far-off AI apocalypses may capture the imagination, but distract from the real military, economic and environmental hazards experienced by the Global South today.
@AdityaSChawla & Daniel Vale (@eLaw_Leiden) on ‘Existential Risks’ in New AI Lexicon: medium.com/a-new-ai-lexicon/…
Monitaur retweeted
Call for Proposals for this year's conference is out!🥳🥳🥳
Final submissions will be due on December 3, 2021.
Details here: facctconference.org/2022/cfp…
Excited to see what the community has to say about the following topics ⬇️⬇️⬇️
Monitaur retweeted
Being a startup founder is probably one of the loneliest and stressful jobs you can have. Proper rest, exercise, and sleep are mandatory requirements of the gig. Take care of yourself out there. – at San Mateo, CA
