[Live Webinar] Making Machine Learning Accessible

Hi sherly, We understand the challenges in adopting machine learning (ML). 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. REGISTER NOW Presenters: Pete Garcin, Developer Advocate, ActiveState Pete will cover: Overview of ML and its importance to industry. Review benefits to an organization (data insights, automation). Review common applications and use cases (fraud detection, image detection, recommendations, etc.) Identify resources you already have on hand (data, skills, etc.) Nathan Greeneltech, Technical Consulting Engineer, Intel Nathan will cover: Overview of technical steps to implementing ML Step 1: Preprocessing/data collection Step 2: Training and testing 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. Using ML is more than finding data scientists and implementing the right technology, it’s also 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 believe companies need to consider two streams to successfully adopt ML: The “How”: the technical aspects of implementing ML The “Why”, the business aspects of implementing ML  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 #1000 - 1177 W Hastings St. | Vancouver, BC V6E 2K3 | Canada | Phone: (778) 786 1100 | Toll-Free: 1 (866) 631 4581 | Fax: (778) 786 1133 www.activestate.com

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