Great addition Sarah! @plotly and @bokeh is amazing
DATA
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NASA STEM STEAM Education: 8 Ways Students Explore
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Break Down Boundaries! 8 Ways #Students Can Dive Into #STEM & #STEAM with #NASA in 2023 @NASA https://
bit.ly/NasaSTEAM #education @psb_dc @helene_wpli #Webb #dataScientist @TeachersPLN #Space #AI #ML @MatthewSekol @DigitalColmer @Paula_Piccard @michaeldacosta @IamNankpak -
Top 2023 Tech Trends Predicted By AI Model
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Here Are The Top 2023 Trends As Predicted By An #AI Model : A Perfect Storm of Tech https://
medium.datadriveninvestor.com/here-are-the-t
op-2023-trends-as-predicted-by-artificial-intelligence-828a093a0ca6
… @pierrepinna @Xbond49 @PawlowskiMario @psb_dc @gvalan @TheRudinGroup @HaroldSinnott @mikeflache @Shi4Tech @Nicochan33 #MachineLearning #DeepLearning #Fintech #Datascience -
Differential Privacy and Secure Aggregation in Federated Learning
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It's a bit complicated. Methods like differential privacy and secure aggregation on top of FL generally help, but there are some caveats. See "Is it possible to Prevent Our Passive and Active Attacks?" of http://
cleverhans.io/2022/04/17/fl-
privacy.html
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Federated Learning: Heterogeneity and Privacy Perspectives
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I like FL as a lens through which to study heterogeneity in clients, which may have different distributions, resources, or capabilities. But not for privacy. Here is another perspective on privacy of FL, which is a bit more conspiratorial than my own https://
x.com/le_science4all
/status/1602432680657928193
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Federated Learning Privacy Misconceptions Debunked
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~30% of true/false voters made the biggest misconception in privacy-preserving ML. Fact: federated learning is not private. @jasondeanlee and @tomgoldsteincs posted some nice papers showing this. Also, here's a blog explainer I like by @fraboeni et al.: http://
cleverhans.io/2022/04/17/fl-
privacy.html
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Seaborn: Python Library for Statistical Data Visualization
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7. Seaborn Seaborn is a library for creating statistical graphics in Python. It is built on top of Matplotlib and provides a higher-level interface for creating visualizations, including support for more complex plots and advanced aesthetics. https://
seaborn.pydata.org -
Matplotlib: Python Data Visualization Library for AI
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6. Matplotlib: Matplotlib is a library for creating visualizations in Python. It provides a wide range of tools for creating plots, charts, and other visualizations of data. https://
matplotlib.org -
Pandas: Essential Data Manipulation Library for Analysis
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2. Pandas Pandas is a library for data manipulation and analysis. It provides functions and data structures for efficiently working with large datasets, including support for handling missing data, time series analysis, and merging and joining data. https://
pandas.pydata.org -
How AI Is Improving Data Management Systems
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How AI Is Improving Data Management https://
sloanreview.mit.edu/article/how-ai
-is-improving-data-management/
… @mitsmr #AI #MachineLearning #DataScience #IoT #100DaysofCode #womenwhocode #serverless @enilev @FmFrancoise @CatherineAdenle @Shi4Tech @anijov @BIScorecard #BigData #Analytics #DeepLearning #DigitalTransformation