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 New Poll: Which Data Science Skills You Have and Which Ones You Want? Vote Now
Take part in the latest KDnuggets poll, and share your insights with the community. Which Data Science skills do you currently possess, and which are you looking forward to add or improve upon? Vote now!
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5 Fantastic Natural Language Processing Books
This curated collection of 5 natural language processing books attempts to cover a number of different aspects of the field, balancing the practical and the theoretical. Check out these 5 fantastic selections now in order to improve your NLP skills.
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 Computational Linear Algebra for Coders: The Free Course
Interested in learning more about computational linear algebra? Check out this free course from fast.ai, structured with a top-down teaching method, and solidify your understanding of an important set of machine learning-related concepts.
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Free From Stanford: Ethical and Social Issues in Natural Language Processing
Perhaps it's time to take a look at this relatively new offering from Stanford, Ethical and Social Issues in Natural Language Processing (CS384), an advanced seminar course covering ethical and social issues in NLP.
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Foundations of Data Science: The Free eBook
As has become tradition on KDnuggets, let's start a new week with a new eBook. This time we check out a survey style text with a variety of topics, Foundations of Data Science.
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PyTorch for Deep Learning: The Free eBook
For this week's free eBook, check out the newly released Deep Learning with PyTorch from Manning, made freely available via PyTorch's website for a limited time. Grab it now!
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An Introduction to Statistical Learning: The Free eBook
This week's free eBook is a classic of data science, An Introduction to Statistical Learning, with Applications in R. If interested in picking up elementary statistical learning concepts, and learning how to implement them in R, this book is for you.
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Free Economics & Finance Courses for Data Scientists
Here is a selection of courses for those interested in diversifying their domain knowledge into the related realms of economics and finance, with the goal of being able to apply your data science skills to these domains.
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Bias in AI: A Primer
Those interested in studying AI bias, but who lack a starting point, would do well to check out this introductory set of slides and the accompanying talk on the subject from Google researcher Margaret Mitchell.
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Simplified Mixed Feature Type Preprocessing in Scikit-Learn with Pipelines
There is a quick and easy way to perform preprocessing on mixed feature type data in Scikit-Learn, which can be integrated into your machine learning pipelines.
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New Poll: Which Data Science Skills You Have and Which Ones You Want? Vote Now
Computational Linear Algebra for Coders: The Free Course