L'art pour l'art: создание генеративного искусства с L-системами на Python.
https://proglib.io/w/78dc2b71
https://proglib.io/w/78dc2b71
Deepnote
lartpy
Data apps for data scientists and data analysts.
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Помимо интерпретируемости: разработка языка для формирования наших отношений с ИИ.
https://proglib.io/w/4f17789d
https://proglib.io/w/4f17789d
Medium
Beyond interpretability: developing a language to shape our relationships with AI
By Been Kim, Google Research, Brain Team
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Forwarded from Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
👔 Senior Data Scientist
⛳️ Neuton.AI
💼🥁 Удаленка
💵 Зарплата на собеседовании
Подробнее: https://proglib.io/vacancies/senior-data-science-neuton-ai-2022-04-25
⛳️ Neuton.AI
💼🥁 Удаленка
💵 Зарплата на собеседовании
Подробнее: https://proglib.io/vacancies/senior-data-science-neuton-ai-2022-04-25
Обучение с недостаточным количеством данных. Часть 3. Генерация данных.
https://lilianweng.github.io/posts/2022-04-15-data-gen/
https://lilianweng.github.io/posts/2022-04-15-data-gen/
lilianweng.github.io
Learning with not Enough Data Part 3: Data Generation
Here comes the Part 3 on learning with not enough data (Previous: Part 1 and Part 2). Let’s consider two approaches for generating synthetic data for training.
Augmented data. Given a set of existing training samples, we can apply a variety of augmentation…
Augmented data. Given a set of existing training samples, we can apply a variety of augmentation…
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Создание доверительных интервалов для классификаторов машинного обучения.
https://sebastianraschka.com/blog/2022/confidence-intervals-for-ml.html
https://sebastianraschka.com/blog/2022/confidence-intervals-for-ml.html
Sebastian Raschka, PhD
Creating Confidence Intervals for Machine Learning Classifiers
Developing good predictive models hinges upon accurate performance evaluation and comparisons. However, when evaluating machine learning models, we typically...
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Распределения вероятностей, о которых нужно знать для науки о данных (с кодом).
https://towardsdatascience.com/probability-distributions-to-be-aware-of-for-data-science-with-code-c4a6bb8b0e9a
https://towardsdatascience.com/probability-distributions-to-be-aware-of-for-data-science-with-code-c4a6bb8b0e9a
Medium
Probability Distributions To Be Aware Of For Data Science (With Code)
Understanding The Properties of Data
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Пишем производственный код для машинного обучения на python [Обсуждение с Reddit].
https://proglib.io/w/b52eff88
https://proglib.io/w/b52eff88
Reddit
From the MachineLearning community on Reddit
Explore this post and more from the MachineLearning community
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