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Get a solid understanding of
#AI &#ML: concepts & practical skills to develop ML-powered applications in this 2-day Learning Path.@LinkedIn’s Hien Luu gives you a hands-on introduction to#ML from a software professional’s point of view.@QConLondon https://bit.ly/3apvs47 pic.twitter.com/kKOEnVVh2p
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@mlpowered discusses examples of how to build practical applications using#NLP, diving into data visualization and labeling, as well as model validation.@QConai talk on@infoQ: https://bit.ly/2JX2PBo pic.twitter.com/t89if6stZL
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Amit Nene & Eric Chen discuss the infrastructure built by
@Uber for Michelangelo#ML Platform that enables a general approach to Feature Engineering across diverse data systems.@QConai@infoQ: https://bit.ly/2EQMWbH pic.twitter.com/6MC9pS6UUV
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@sravsatuluri discusses how#ML engineering leverages skills from other engineering branches including principles, tools, development and testing practices.@QConai@infoQ: https://bit.ly/2ZsWgKq pic.twitter.com/qkPVn4DQzC
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The
@QConLondon#AI and#ML Learning Paths are for anyone currently working in professional#software development from software engineers and software architects to software managers and leaders. Find out more: https://bit.ly/2sCFuOf pic.twitter.com/Xv4gDwwbBj
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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.
#QConai talk@infoQ: https://bit.ly/2wWCjQ1 pic.twitter.com/8gvgYmAATf
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Get a solid understanding of
#AI &#ML: concepts & practical skills to develop ML-powered applications in this 2-day Learning Path.@LinkedIn’s Hien Luu gives you a hands-on introduction to#ML from a software professional’s point of view.@QConLondon https://bit.ly/3apvs47 pic.twitter.com/LklW9k3dGz
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Learn how
@UberEng sped up its neural architecture search#deeplearning optimization process by 9x by developing an algorithm called Generative Teaching Networks. More on@InfoQ https://bit.ly/2uB7qTk#machinelearning#artificialintelligence#ai#deeplearning#uberpic.twitter.com/1IW7A9mdkA
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Learn all about Ray, a distributed execution framework for emerging
#AI applications, Tune, and Modin. Find out more from@pschafhalter in this@QConai talk.@infoQ https://bit.ly/2LzIqTK pic.twitter.com/QNy9iQyoOX
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Prabhat explores 2D and 3D convolutional architectures for solving pattern classification, regression and segmentation problems in high-energy physics, cosmology and climate science.
#deeplearning@QConai talk on@infoQ https://bit.ly/2Lzal6j pic.twitter.com/dtZ7GwIXD7
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User Story
#programmerjoke [source: http://bit.ly/2tJYT0j ]pic.twitter.com/GoqSubAZkz
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Learn all about training, tracking, testing, and deploying
#ML in this 2-day Learning Path@QConLondon. 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: https://bit.ly/2RbwMjL pic.twitter.com/2AbxCYnVqt
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The
@QConLondon#AI and#ML Learning Paths are for anyone currently working in professional#software development from software engineers and software architects to software managers and leaders. Find out more: https://bit.ly/2sCFuOf pic.twitter.com/6TpkbQZ4PU
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@mantasmatelis and@aveshcsingh explain how they debugged DeepHeart, a DNN that detects cardiovascular disease from heart rate data. Find out more in this@QConai talk on@infoQ.#DeepLearning@AppCardiogram https://bit.ly/2SvZIBI pic.twitter.com/DHTWMSRMEr
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Why is
#MachineLearning becoming a competitive necessity? For#software engineers, architects and leaders learning the core skills is critical for capitalizing on this movement. Be ahead, take a#QConLondon learning path: https://bit.ly/2sCFuOf pic.twitter.com/pUD6UUdMRg
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Get a solid understanding of
#AI &#ML: concepts & practical skills to develop ML-powered applications in this 2-day Learning Path.@LinkedIn’s Hien Luu gives you a hands-on introduction to#ML from a software professional’s point of view.@QConLondon https://bit.ly/3apvs47 pic.twitter.com/qPHy6kLrCM
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.
@sravsatuluri discusses how#ML engineering leverages skills from other engineering branches including principles, tools, development and testing practices.@QConai@infoQ: https://bit.ly/2ZsWgKq pic.twitter.com/IJeBTetdqL
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Want to master the tools, practices and techniques of
#AI and#MachineLearning? Join the@QConLondon (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: https://bit.ly/2sCFuOf pic.twitter.com/qisZ1BZeCR
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Sumit Rangwala &
@felixgv 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.@QConai@infoQ: https://bit.ly/2ZjcTbo pic.twitter.com/yGzUkz0DbQ
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