QCon.ai

@QConAI

A practitioner-driven conference for senior software engineers & architects on the patterns, practices & use cases for applying

Vrijeme pridruživanja: rujan 2017.

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  1. prije 7 sati

    Get a solid understanding of & : concepts & practical skills to develop ML-powered applications in this 2-day Learning Path. ’s Hien Luu gives you a hands-on introduction to from a software professional’s point of view.

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  2. 2. velj

    . discusses examples of how to build practical applications using , diving into data visualization and labeling, as well as model validation. talk on :

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  3. 1. velj

    Apple supporting Windows

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  4. 31. sij

    Amit Nene & Eric Chen discuss the infrastructure built by for Michelangelo Platform that enables a general approach to Feature Engineering across diverse data systems. :

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  5. 30. sij

    . discusses how engineering leverages skills from other engineering branches including principles, tools, development and testing practices. :

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  6. 30. sij

    The and Learning Paths are for anyone currently working in professional development from software engineers and software architects to software managers and leaders. Find out more:

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  7. 29. sij

    Jibin Liu presents one of the projects at eBay where the team used RL to improve the crawling of targeted web pages. Includes the basics of RL & why and how to use it to power web crawling. talk :

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  8. 28. sij

    Get a solid understanding of & : concepts & practical skills to develop ML-powered applications in this 2-day Learning Path. ’s Hien Luu gives you a hands-on introduction to from a software professional’s point of view.

    Poništi
  9. 27. sij

    Learn how sped up its neural architecture search optimization process by 9x by developing an algorithm called Generative Teaching Networks. More on

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  10. 26. sij

    Learn all about Ray, a distributed execution framework for emerging applications, Tune, and Modin. Find out more from in this talk.

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  11. 25. sij

    Prabhat explores 2D and 3D convolutional architectures for solving pattern classification, regression and segmentation problems in high-energy physics, cosmology and climate science. talk on

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  12. 25. sij
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  13. 24. sij

    Learn all about training, tracking, testing, and deploying in this 2-day Learning Path . Head of Data Science at Nooxit Jendrik Jördening gives you a “starter kit” of working code and knowledge, which can be expanded upon. Find out more:

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  14. 23. sij

    The and Learning Paths are for anyone currently working in professional development from software engineers and software architects to software managers and leaders. Find out more:

    Poništi
  15. 23. sij

    . and explain how they debugged DeepHeart, a DNN that detects cardiovascular disease from heart rate data. Find out more in this talk on .

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  16. 22. sij

    Why is becoming a competitive necessity? For engineers, architects and leaders learning the core skills is critical for capitalizing on this movement. Be ahead, take a learning path:

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  17. 21. sij

    Get a solid understanding of & : concepts & practical skills to develop ML-powered applications in this 2-day Learning Path. ’s Hien Luu gives you a hands-on introduction to from a software professional’s point of view.

    Poništi
  18. 21. sij

    . discusses how engineering leverages skills from other engineering branches including principles, tools, development and testing practices. :

    Poništi
  19. 20. sij

    Want to master the tools, practices and techniques of and ? Join the (March 5-6) 2-day intensive, hands-on Learning Paths. Get practical skills you can use immediately and learn from those actively working in this field:

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  20. 20. sij

    Sumit Rangwala & present the evolution of PYMK’s architecture, focusing on Gaia, a real-time graph computing capability and Venice, an online feature store with scoring capability. :

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