Machine Learning Platforms


Duration: 50 mins
Brian Sletten
Forward Leaning Software Engineer

Machine Learning is clearly here to stay. While it is a far cry from actual Artificial Intelligence, it provides many invaluable and remarkable ways to learn from the data we are collecting about our customers, products and daily activities. The past afforded us machine learning libraries which became machine learning frameworks. Now, we are designing and building machine learning platforms that facilitate entire initiatives in reusable and extensible ways. We will discuss many of the drivers of modern machine learning systems and the platforms that we are seeing emerge.

You may also be interested in

50 mins
Flying through Cloud Native (CNCF)

The maturing of industry projects and tools around cloud development and administration has led to the formation of the Cloud...

180 mins
Kubernetes Koncepts

Kubernetes has become the de-facto orchestrator for containers and now is the best way to start engaging with portable distributed...

50 mins
Enterprise Ethical Hacking Cloud Applications

Securing of the web application is an enormous task. In this talk, we will explore how to protect enterprise applications....

50 mins
Fog Computing : Software on the Edge

When the clouds descend to the Earth, we call that fog. When cloud computing moves closer to your end users,...

50 mins
Communication Patterns in Microservices

Teams adopt microservices understanding the structure of the architecture but with a poor understanding of how to get all the...

25 mins
Monolith Thick Client Apps to Microservices! Best Practices

In order to make use of the scalable hardware capabilities and connectivity, there is a growing need to decouple monolithic...