- Adding an attention mechanism to RNNs - Mar 10, 2022.
This article is an excerpt from the book Machine Learning with PyTorch and Scikit-learn is the new book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.
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- Boost Your AI and ML Skills for Free at NVIDIA Conference - Mar 9, 2022.
Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.
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- What certification are you adding to your toolkit in 2022? - Mar 8, 2022.
Learn more about the popular certifications that will validate your data and analytics skills.
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- Calculus: The hidden building block of machine learning - Feb 28, 2022.
Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning. The book has more math than our other books and over 85 code examples to help you understand the concepts.
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- PyTorch or TensorFlow? Comparing popular Machine Learning frameworks - Feb 24, 2022.
Machine Learning with PyTorch and Scikit-learn is the PyTorch book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.
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- Octoparse 8.5: Empowering Local Scraping and More - Feb 18, 2022.
Octoparse 8.5 is now released with game-changing new features and major improvements.
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- A new book that will revolutionize the way your organization approaches data! - Feb 17, 2022.
Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak reveals how this new groundbreaking decentralized architecture looks for both small startups and large enterprises.
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- Deep Learning with Python: Second Edition by François Chollet - Jan 25, 2022.
Now in print! New edition of the bestselling original by François Chollet.
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