Jason Brownlee's blog about learning Machine Learning for developers, as well as a range of practical examples and case studies in Machine Learning, Data Science and Deep Learning. He covers topics like neural networks and genetic programming, and publishes several times per week.
Eugene writes one of the most friendly data science blogs on the Internet. By day, he works as an applied scientist at Amazon. He also includes plenty of snippets writes articles that are readable and digestible. He also send a weekly newsletter about effective data science, machine learning, and career development.
Python, Data Science, and Machine Learning Tutorials written by Renan Moura. There's an extensive backlog of posts for anyone looking to go deeper into Python and find practical ways to apply it in the fields of data science and machine learning.
Chris is the Director of Machine Learning at the Wikimedia Foundation. He has spent over a decade applying statistical learning, artificial intelligence, and software engineering to political, social, and humanitarian efforts. He is the author of the acclaimed "Machine Learning Flashcards".
This blog covers data projects, from Bayesian recommenders to deep learning to data mining. Vincent is a self-taught developer and data scientist, currently living in the Netherlands. He's also the fo-founder and co-chair of PyData Amsterdam.
Julien writes about working with AWS and Machine Learning. On his blog you'll find articles on topics like using Amazon SageMaker, updates from re:Invent, and working with TensorFlow using Amazon services.
Ines covers her work on with Python, Artificial Intelligence, and Natural Language Processing (NLP) topics. She's the cofounder of Explosion and a core developer of spaCy and Prodigy.
Victor writes about web development with tools like Gatsby and machine learning with tools like Keras. He also has recent posts about security, type safety, and web performance.
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Acknowledgements — Thanks to Hero Patterns and Devicon for SVG assets used on this site. Plus, thanks to everyone who's submitted their favorite blogs so far! We'd love your suggestions for how to make this list better on Twitter, @bloggingfordevs.
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