article thumbnail

9 Tech Conferences Not to Be Missed in October

Apiumhub

In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology.

article thumbnail

How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Compass Tech Summit: A Remarkable 5-In-1 Tech Conference

Apiumhub

Compass Tech Summit is an inclusive and professional conference that takes place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary. This year, the conference will bring together under one roof several conferences, including Reinforce, Stretch, Crunch, Amuse, and Impact. Keep reading! Click here.

article thumbnail

Article: How to Get Hired as a Machine Learning Engineer

InfoQ Culture Methods

To become a machine learning engineer, you have to interview. You have to gain relevant skills from books, courses, conferences, and projects. Include technologies, frameworks, and projects on your CV. In an interview, expect that you will be asked technical questions, insight questions, and programming questions.

article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

article thumbnail

Managing risk in machine learning

O'Reilly Media - Ideas

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Developers have taken notice and are beginning to learn about ML.

article thumbnail

Article: How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings

InfoQ Culture Methods

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.