Towards Data Science

@TDataScience

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Vrijeme pridruživanja: listopad 2016.

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  2. Introducing Leya: The Meta-Statistical Lisp-like language by Emmett Boudreau

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  4. Real-Time Sentiment Analytics and Visualization via ElectionTweetBoard by Shantanu Phadke

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  5. Juno Makes Writing Julia Awesome by Emmett Boudreau

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  6. The Problem of Missing Data by Thiago Pereira

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  7. Limitations of Regression by Nicolus Rotich

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  8. Three Datasets I Often Use As Examples by Adam Ross Nelson

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  9. Linux command line utils for Data Scientist by

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  10. Active Learning For An Efficient Data Annotation Strategy by Youness Mansar

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  11. What are the Odds?

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  12. Top 10 In-Demand programming languages to learn in 2020 by

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  13. Reflections on AI from Davos 2020 - World Economic Forum by

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  14. Weights, Biases, and Backpropagation by

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  15. Geospatial Clustering: Kinds and Uses by

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  16. What is like to be a Data Scientist with a passion for Gaming … by Kamal Chouhbi

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  17. YOLO Made Simple: Interpreting the You Only Look Once Paper by Anirudh S

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  18. Understanding the AI Model that Broke CAPTCHAs by

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  19. Diving deeper into Unity-ML Agents by

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  20. How many tech skills are enough for a data scientist?

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  21. How to ensure your data science projects are successful every time by

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