Dig deep into Machine Learning with Google Cloud: Part 2

If you haven’t enrolled in the machine learning Quests mentioned in this blog, you’re missing out! One last chance for free labs, follow any of the Quest links in this post and get a 30 day pass to finish these Quests. Hurry, offer expires Thursday, June 28 (free of charge, no CC required).

Tackle any of the Quests from the roadmap below to become a ML master. If you’re a beginner… begin at the beginning 🙂

Earn a machine learning Quest badge or two, get practice with real-world scenarios, and make the most out of your time at Next ‘18 with some ML rockstars. Who might you meet at Next ’18?

Fei Fei Li is a Chief Scientist of Cloud AI and ML at Google Cloud. She works in the areas of computer vision and cognitive neuroscience. Her publications include Scaling Human-Object Interaction Recognition through Zero-Shot Learning  and Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. Get hands-on practice with Cloud AI at scale with the Machine Learning APIs Quest.

Or you might run into Valliappa Lakshmanan. Lak is on a mission to democratize machine learning so anyone can do it using Google’s infrastructure. Check out his latest book, Data Science on the Google Cloud Platform, explaining how to apply statistical and machine learning methods to real-world problems. And try it for yourself with a lab from the Scientific Data Processing Quest!

Take some labs ahead of time, gain a little experience, and ask better questions at the ML sessions offered at the Next ’18! Check out these sessions:

Can’t get enough of machine learning? When you register for Next ‘18, you will have the option to add some of these ML boot camps:

    • End-to-End Machine Learning with TensorFlow on GCP: You’ll go through the process of building a complete machine learning pipeline, covering ingest, exploration, training, evaluation, deployment and prediction.
    • Building and updating a Machine Learning Model on Edge Network using Cloud ML: You’ll learn how to process and store IoT or other data using Cloud Pub/Sub, Cloud Dataflow, Cloud Storage, and Google BigQuery.
    • Building Chatbots with Machine Learning: You’ll use Dialogflow and Cloud Natural Language API to rapidly convert an HR manual document into a fully functional and conversational chatbot. You’ll also add text and voice interactions to the chatbot and secure and scale it for production.

If you can’t make it to Next in San Francisco, take classes worldwide. Find one here.

To make the most of your time at Next ’18, enroll in these ML Quests by Thursday, June 28 (free of charge, no CC required).

How GPU Technology Conferences are Part of a Vast Conspiracy

… to make the impossible possible with GPU technologies! 

Last day of the GPU Tech Conference, be sure to take advantage of self-paced labs with qwikLABS. Get your lab on – starting at 9:30 (and if you’re not there, check out our online labs). 

Did you partake of yesterday’s baked-to-perfection cookies? Or are you just there for the robots?

Seriously looks like a great party, but even more seriously, take things into your own hands and get into NVIDIA technology, fast. Check out these live, hands-on labs and learn to program GPUs with C++, or Python, or Fortran, or MATLAB – any place, your pace. Check out labs on OpenACC and Deep Learning too (Intro to Deep Learning is free!). 

GPU Tech Conference 2016

So what flavor doughnut did you get? 

Check out the NVIDIA Deep Learning badge

Are you at the GPU Technology Conference? We promised pics – read on to see if you made it into any of the shots! 

Check the schedule for bootcamps and self-paced labs. You’ll find qwikLABS there! Even if you didn’t make it to the conference, check out the NVIDIA lab catalog, and try our newest NVIDIA Quest, Introduction to Deep Learning.

What’s a Quest, you might ask? And why should I care? Each Quest consists of a collection  of labs that focus on a specific area of GPU computing and practical use cases. At the end of a Quest, you get two things:

  • Advanced knowledge of that specific area of GPU computing
  • A shareable badge to show what you accomplished (looks great on your resume, social media profiles, and more!)

Why should I take the Deep Learning Quest? Deep learning is helping to solve big data problems such as computer vision (self-driving cars!), speech recognition, and language processing. NVIDIA provides high-performance tools and libraries to power these applications, and qwikLABS puts practical training, curated by experts, into your hands. Earn your Deep Learning Badge today!

As promised, here are a few snapshots of the conference. Have you checked out the self-paced labs yet?

Self-pacedlabs
Self-paced labs zone

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Presentations

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Are you in this shot?

Presentation2
How about this one?