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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 357
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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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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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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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How a stubborn computer scientist accidentally launched the deep learning boom

Flipboard

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the …

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This Japanese AI unicorn has big plans to use deep learning to fix 'real-world' problems

Flipboard

Preferred Networks is a little-known name outside of Japan, but the Toyota-backed artificial intelligence unicorn has big plans to use deep learning

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Getting Started with Docker for Machine Learning

Flipboard

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? How Do Containers Differ from Virtual Machines? Finally, we will top it off by installing Docker on our local machine with simple and easy-to-follow steps. What Are Containers?