Imagine our world later in this century, when machines have gotten better. Cars and trucks drive themselves, and there’s hardly ever an accident. Robots root through the earth for raw materials, and miners are never trapped. Robotic surgeons rarely …
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With the quality of machine learning packages being developed today, testing and creating models couldn’t be easier. Data scientists can simply import their favorite library and have immediate access to dozens of cutting edge algorithms. (more…)
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Machine learning educational content is often in the form of academic papers or blog articles. These resources are incredibly valuable… (more…)
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"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of bu... (more…)
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We've compiled a list of Chinese datasets that can cover a wide range of use cases, from optical character recognition (OCR) to sentiment analysis. (more…)
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Most word embeddings used are glaringly sexist, let us look at some ways to de-bias such embeddings. (more…)
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