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Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

Python 400
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Exciting Things about Python that Every User Should Know!

Analytics Vidhya

Introduction Python is a really interesting programming language and by the end of this blog, you’ll also understand why. The IEEE Spectrum has ranked Python #1 in their list of top programming languages, 2020. It has maintained its position at #1 since the year 2017. It definitely took some time for python […].

Python 291
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Understanding Transformers: A Deep Dive into NLP’s Core Technology

Analytics Vidhya

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Altering Python attribute handling for modules

Hacker News

A recent discussion on the Python forum looked at a way to protect module objects (and users) from mistaken attribute assignment and deletion. There are ways to get the same effect today, but the mechanism that would be used causes a performance penalty for an unrelated, and heavily used, action: attribute lookup on modules.

Python 103
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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

Discover Llama 4 models in SageMaker JumpStart SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the Amazon SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use SageMaker JumpStart models. billion in 2017 to a projected $37.68

AWS 100
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GoLang for Data Science

Data Science 101

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Golang Data Science Books. Thoughts from the Community.

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Explosion in 2017: Our Year in Review

Explosion

spaCy In 2017 spaCy grew into one of the most popular open-source libraries for Artificial Intelligence. In April 2017, we published a follow up that described the solution we were working on, and in August we introduced Prodigy , and started accepting beta users. spaCy’s Machine Learning library for NLP in Python. cython-blis