Telegram channel "Boring Berlin Scientist" — @boberscience

Boring Berlin Scientist

18 Apr 2023, 18:58

🚀 New Article Alert 🚀

Hey folks! I've just published a new article on robustness in AI: "Adversarial Attacks and Defenses in Machine Learning." Dive into the world of adversarial attacks, explore various defense strategies, and enhance your knowledge of AI security. Don't miss out!

🔗 Read it now: @slavadubrov/adversarial-attacks-and-defenses-in-machine-learning-1b649791816a' rel='nofollow'>https://medium.com/@slavadubrov/adversarial-attacks-and-defenses-in-machine-learning-1b649791816a

Adversarial Attacks and Defenses in Machine Learning

In the previous article, “Understanding Machine Learning Robustness: Why It Matters and How It Affects Your Models”, we explored the…

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Boring Berlin Scientist

5 Apr 2023, 17:40

Hey folks! 👋
I've spent the last two weeks crafting a blog post on embedding systems, specifically focusing on building and deploying one at Wayfair. If you're curious, give it a read here: Introducing Melange: A Customer Journey Embedding System 🚀

Don't worry, I'm still working on the robustness series, so keep an eye out for updates! 😉

Introducing Melange: A Customer Journey Embedding System for Improving Fraud and Scam Detection

Let’s look at how we at Wayfair use custom embedding models to capture complex customer behavior patterns for advanced Scam and Fraud prevention.

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Boring Berlin Scientist

22 Mar 2023, 17:00

👋 Hey My Telegram Folks!
It's been quite a while since we last connected – a whole year, in fact. Time really flies, doesn't it? 😄 I'm pleased to announce that I'm back and launching a new series of blog posts on Machine Learning Robustness.

We'll begin with an introduction to the general concepts and, as we progress, dive into practical, hands-on lessons with theory and code examples. 📘💻
If you are interested check out the first post here: @slavadubrov/understanding-machine-learning-robustness-why-it-matters-and-how-it-affects-your-models-5e2cb5838dab' rel='nofollow'>Understanding Machine Learning Robustness: Why It Matters and How It Affects Your Models

Let's make our machine learning models as robust as my ability to stay silent on Telegram for a year! 😅 Stay tuned for more! 📡

Understanding Machine Learning Robustness: Why It Matters and How It Affects Your Models

Balancing Robustness and Accuracy: The Key to Trustworthy Machine Learning Models

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Boring Berlin Scientist

3 Apr 2022, 13:00

Interactive visual introduction to the precision & recall tradeoff

Precision and Recall

A visual introduction to Precision, Recall, and the F1-score in machine learning.

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Boring Berlin Scientist

2 Apr 2022, 14:00

Big post about architectures for modern data infrastructures

Data Architecture Revisited: The Platform Hypothesis

Software systems are increasingly based on data, rather than code. A new class of tools and technologies have emerged to process data for both analytics and ML.

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Boring Berlin Scientist

19 Feb 2022, 17:43

Must read article about Data Distribution Shifts and Monitoring

Data Distribution Shifts and Monitoring

Note: This note is a work-in-progress, created for the course CS 329S: Machine Learning Systems Design (Stanford, 2022). For the fully developed text, see th...

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Boring Berlin Scientist

13 Jan 2022, 22:22

If you, like me, always struggle setting up your new MacBook device, take a look at my quick 10-step guide on how I set up macOS for my daily DS routine:
@slavadubrov/setting-up-a-macbook-as-data-science-specialist-8fee88c9c498' rel='nofollow'>Medium story

Setting up a MacBook as Data Science Specialist

I believe this story is familiar to everyone. You get a new MacBook and try to recall what exactly do you need there. This happened to me…

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Boring Berlin Scientist

8 Sep 2021, 13:00

Best Practices on Recommendation Systems by Microsoft

- Github

GitHub - microsoft/recommenders: Best Practices on Recommendation Systems

Best Practices on Recommendation Systems. Contribute to microsoft/recommenders development by creating an account on GitHub.

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Boring Berlin Scientist

6 Sep 2021, 13:00

Applications of Graph Neural Networks

Applications of Graph Neural Networks (GNN)

In two previous articles, we present an overview of the GCN and GNN networks. In our final article, we will cover their possible…

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Boring Berlin Scientist

16 Aug 2021, 13:00

Netron - the crossplatform tool for visualizing deep learning models:

- Github

GitHub - lutzroeder/netron: Visualizer for neural network, deep learning, and machine learning models

Visualizer for neural network, deep learning, and machine learning models - GitHub - lutzroeder/netron: Visualizer for neural network, deep learning, and machine learning models

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Boring Berlin Scientist

13 Aug 2021, 13:00

🧑‍🎓The repo with the intuitive explanations, clean code and visuals about ML:

- GitHub

GitHub - GokuMohandas/MadeWithML: Learn how to responsibly deliver value with ML.

Learn how to responsibly deliver value with ML. Contribute to GokuMohandas/MadeWithML development by creating an account on GitHub.

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Boring Berlin Scientist

11 Aug 2021, 13:00

😄➡️😺 The deep fake library for face swapping:

- GitHub

GitHub - deepfakes/faceswap: Deepfakes Software For All

Deepfakes Software For All. Contribute to deepfakes/faceswap development by creating an account on GitHub.

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Boring Berlin Scientist

9 Aug 2021, 13:00

The description of the PyTorch implementation of the paper Graph Attention Networks:

- The original post

Graph Attention Networks (GAT)

A PyTorch implementation/tutorial of Graph Attention Networks.

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Boring Berlin Scientist

8 Aug 2021, 13:00

Recommendations with Bandit models from TF-agents library:

- The original blog post
- GitHub

Using the TensorFlow-Agents Bandits Library for Recommendations

In this blog post we introduce the TensorFlow-Agents Bandits library. This library offers a comprehensive list of the most popular bandit algorithms a

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Boring Berlin Scientist

7 Aug 2021, 11:23

The introduction article about the new Deep Mind's multipurpose architecture Perceiver IO:

- The Original Blog Post
- The GitHub

Building architectures that can handle the world’s data

Perceiver IO, a more general version of the Perceiver architecture, can produce a wide variety of outputs from many different inputs.

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Boring Berlin Scientist

13 Jun 2021, 14:13

Forward from: Gradient Dude

Chinese researchers are very fond of doing extensive surveys of a particular sub-field of machine learning, listing the main works and the major breakthrough ideas. There are so many articles published every day, and it is impossible to read everything. Therefore, such reviews are valuable (if they are well written, of course, which is quite rare).

Recently there was a very good paper reviewing various variants of Transformers with a focus on language modeling (NLP). This is a must-read for anyone getting into the world of NLP and interested in Transformers. The paper discusses the basic principles of self-attention and such details of modern variants of Transformers as architecture modifications, pre-training, and various applications.

📝Paper: A Survey of Transformers.

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Boring Berlin Scientist

23 Feb 2021, 14:00

data-describe is a Python toolkit for Exploratory Data Analysis (EDA)

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Boring Berlin Scientist

21 Feb 2021, 14:00

Qlib - quantitative investment python library from Microsoft

https://github.com/microsoft/qlib

microsoft/qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, yo...

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Boring Berlin Scientist

20 Feb 2021, 18:47

Google released Tensorflow 3D
Library for 3D semantic segmentation, 3D object detection and 3D instance segmentation

http://ai.googleblog.com/2021/02/3d-scene-understanding-with-tensorflow.html

3D Scene Understanding with TensorFlow 3D

Posted by Alireza Fathi, Research Scientist and Rui Huang, AI Resident, Google Research The growing ubiquity of 3D sensors (e.g., Lidar ,...

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Boring Berlin Scientist

14 Jan 2021, 16:55

Data science tools map😳
https://landscape.lfai.foundation/

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