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Tackle computer science problems using both fundamental and modern algorithms in machine learning

KDnuggets

Master algorithms, including deep learning like LSTMs, GRUs, RNNs, and Generative AI & LLMs such as ChatGPT, with Packt's 50 Algorithms Every Programmer Should Know.

Algorithm 325
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A Guide to Understand Machine Learning Pipeline with Case Study

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is one of the most advancing technologies in Computer Science in the present era. If you find the process of training machines to learn to […].

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Top Python AI and Machine Learning Libraries

Flipboard

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). A lot of …

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Power to the Data Report: Introduction to Neural Magic

insideBIGDATA

Neural Magic is a startup company that focuses on developing technology that enables deep learning models to run on commodity CPUs rather than specialized hardware like GPUs. The company was founded in 2018 by Alexander Matveev, a former researcher at MIT, and Nir Shavit, a professor of computer science at MIT.

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Transforming Deep Learning Education with Yann LeCun and Alfredo Canziani’s Free Online Course

NYU Center for Data Science

Yann LeCun is a renowned deep learning pioneer and one of the most important minds in AI, and over the past few years he has been developing a comprehensive theory of machine learning, centered around “energy-based models,” which he calls “the only way to formalize and understand all model types.”

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Keras 3.0 deep learning API backs TensorFlow, PyTorch, Jax

Flipboard

a “full rewrite” of the Keras deep learning API, has arrived, providing a new multi back-end implementation of the API. Keras 3.0, Unveiled November …

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Deep learning pioneer Geoffrey Hinton quits Google

Flipboard

Hinton will be speaking at EmTech Digital on Wednesday Geoffrey Hinton, a VP and Engineering Fellow at Google, and a pioneer of deep learning who …