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Mastering spaCy | Data | Paperback

Déborah is a data science consultant and writer. With a BSc in Computer Science from UFPE, one of Brazil’s top computer science programs, she brings a diversified skill set refined through hands-on experience with various technologies. Déborah has thrived in different data science projects, including roles such as lead data scientist and technical contributor for respected publications. Her ability to translate complex concepts into simple language, coupled with her quick learning and broad vision, make her an effective educator. Actively engaged in community initiatives, she works to ensure equitable access to knowledge, reflecting her belief that technology is not a

Reddit – Dive into anything

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Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Introduction to NumPy and Pandas

In Python programming, NumPy and Pandas stand out as two of the most powerful libraries for numerical computing and data manipulation. NumPy: The Foundation of Numerical Computing NumPy (Numerical Python) provides support for multi-dimensional arrays and a wide range of mathematical functions, making it essential for scientific computing. NumPy is the most foundational package for numerical computing in Python. One of the reasons why NumPy is so important for numerical computations is that it is designed for efficiency with large arrays of data. The reasons for this include: It stores data internally in a continuous block of memory, independent of

Trump Says New Tech Will Make Reagan’s Star Wars a Reality

President Donald Trump wants to make Ronald Reagan’s long-ridiculed Star Wars missile defense program from the 1980s a reality. And he insists new tech can finally make it happen. Trump gave a rambling speech to Congress Tuesday night that included the kinds of dishonest nonsense the fascist president has long been known for. But as the most powerful person in the country, Trump has the power to make things happen. And he wants to create a missile defense system for the U.S. called the “Golden Dome for America,” previously known as the “Iron Dome for America.” “As Commander-in-Chief, my focus

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar; 26(8):1−67, 2025. Abstract Due to the high cost of communication, federated learning (FL) systems need to sample a subset of clients that are involved in each round of training. As a result, client sampling plays an important role in FL systems as it affects the convergence rate of optimization algorithms used to train machine learning models. Despite its importance, there is limited work on how to sample clients effectively. In this paper, we cast

Chain of Draft approach allows AI models to carry out tasks using far fewer resources

Comparison of Claude 3.5 Sonnet’s accuracy and token usage across different tasks with three different prompt strategies: direct answer (Standard), Chain of Thought (CoT), and Chain of Draft (CoD). Credit: arXiv (2025). DOI: 10.48550/arxiv.2502.18600 A small team of AI engineers at Zoom Communications has developed a new approach to training AI systems that uses far fewer resources than the standard approach now in use. The team has published their results on the arXiv preprint server. The new approach developed at Zoom is called Chain of Draft (CoD), an update of the traditional approach now in use called Chain of Thought

Generate short videos with the Replicate playground

AI video generation is here, but it’s not always easy to get the results you want. In this guide, I’ll share a convenient workflow for creating AI video with the Replicate playground. The playground is an experimental web interface that gives you a scrapbook-style UI for testing different models, comparing their outputs, and keeping a record of your experiments. We built it for quick iteration with image models, but we’ve found it works great for video models too. Your browser does not support the video tag. Step 1: Start with an image Text-to-video generation is not yet as fast as

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link