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AI & Machine Learning: the key skills every software engineer needs in 2018


Designed specifically by, and for, senior software engineers, architects, and technical engineering managers, QCon.ai is a dedicated conference for AI and machine learning. Use code KDnuggets by Feb 17 to save.



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As more and more full-stack software engineers move into the AI and machine learning space, a space typically occupied by data scientists, 2018 will prove to be the time for them to develop their skill sets in this emerging area.

Designed specifically by, and for, senior software engineers, architects, and technical engineering managers, QCon.ai is a dedicated QCon software conference for AI and machine learning. The conference, workshops and codelabs will accelerate your knowledge, skills and understanding of the use cases and application of AI & ML in software engineering:

  • Learn how software innovators are applying AI & machine learning in 50-minute in-depth, use-case oriented sessions with companies such as Stitch Fix, Uber, Google, and Airbnb (24 case study talks in all)
  • Hear about the tools and techniques of AI & machine learning in 10-minute sessions focused on gaining breadth in the space including talks on Jupyter Notebooks, Pandas, Gimel, Beam, Spark, & TensorFlow (32 short talks in all)
  • Gain hands-on experience with the code in our self-paced codelabs followed by question and answer sessions with the codelab creators
  • Meet with AI and ML leaders from Google, Udacity, Uber, Coinbase, PayPal, Stitch Fix, Stripe and many more.

Talks at QCon.ai include:

QCon.ai takes place in San Francisco from April 9-11, 2018. You can find out more about the conference and register at QCon.ai. If you're a developer who knows that the trend to watch for in 2018 is AI and machine learning, QCon.ai is the conference to jumpstart your journey.

Registration is $1,620 ($175 off) for the 2-day conference
if you register by Feb 17th using KDnuggets

Hope to see you there!
Wes Reisz
Technical Advisor C4Media & Co-Chair QCon.ai

PS: I'm not just one of the chairs. I've spent the last 13 years as a backend engineer with HPE. My goal for 2018 is to expand my understanding of deep learning and neural networks. QCon.ai is diving in full force and asking the questions to get me there. Join me on my journey!

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