Wilhelm Raider on Medium curated some lists

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Reverse Engineering

3 stories

Android Certificate Error

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SEO

2 stories

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GPT

2 stories

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Nextjs

1 story

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Frontend Dev

1 story

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Chatbot

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Postgres

3 stories

Full text search

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NLP

43 stories

Hierarchical Topic Model for Airbnb Reviews Extracting topics and sub-topics hierarchical structure in Airbnb reviews using the Python package BERTopic

Figure 1: Illustrating our procedural data generation approach for unsupervised NLI. A sentence is treated as a premise, and multiple hypotheses conditioned on each label (Entailment- E, Contradiction- C, and Neutral- N) are generated using a set of sentence transformations.

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Trading

6 stories

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AI - Time Series

31 stories

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Databases

3 stories

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Data engineering

12 stories

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No Code

2 stories

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AI - Search

9 stories

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AI Scaling

2 stories

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Crypto

30 stories

The Ultimate Guide To Researching Tokenomics

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dApps

4 stories

Substrate

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NFT

22 stories

Four screenshots from NFT collections’ websites and secondary marketplaces.

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Graphs

18 stories

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Computer Vision

4 stories

Data augmentation is a technique to solve model overfitting without collecting and labeling new data points. Lot’s of machine learning practitioners use this technique in most of their models. Although any image processing library can do image data augmentation, a dedicated package do it with less effort and better results. Albumentation is one such tool we can use. It could even handle annotated image augmentation faster and cleaner.

Wilhelm Raider

Wilhelm Raider

digital entrepreneur. former rocket scientist. CTO @datazeit

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