Tuesday, March 20, 2018

[Live Webinar] Making Machine Learning Accessible

Hi sherly,

We want to help make machine learning more accessible. So we’re sharing what we’ve learned to help companies implement ML.

Join us on March 28 at 11:00AM PST / 2:00PM EST for a live webinar where we’ll cover both the technical and business aspects of successfully implementing ML.

This webinar is suited to business and technical executives grappling with the challenges of adopting ML.

Using ML is more than finding data scientists and implementing the right technology. A huge part of adopting ML is the cultural shift an organization needs to take. The “Why” do this, what’s the business case, why does it matter and what do I use it for?

We’ll discuss how to overcome some business challenges of adopting ML as well as deep dive into some technical aspects of implementing ML with Intel.

Presenters:

Pete Garcin, Developer Advocate, ActiveState

Pete will cover:

  1. Overview of ML and its importance to industry.
  2. Review benefits to an organization (data insights, automation).
  3. Review common applications and use cases (fraud detection, image detection, recommendations, etc.)
  4. Identify resources you already have on hand (data, skills, etc.)

Nathan Greeneltch, Technical Consulting Engineer, Intel

Nathan will cover:

  1. Overview of technical steps to implementing ML
  2. Step 1: preprocessing/data collection
  3. Step 2: training and testing
  4. Step 3: Deployment

The relevant tools for Steps 1-3 will be introduced, focusing on easy-to-use solutions and INTEL’s contribution to each of them.

When it comes to machine learning, we’re helping companies with the “why” do it, as well as the “how” to do it.

Can’t make it to the webinar? Register anyway, and we’ll send you a link to the recorded session once it’s available.

Best Regards,

– Mike Kanasoot
The ActiveState Team

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