Yung Chou

Yung Chou

Sr. Cloud Architect
BlueMetal, an Insight company
@yungchou

Yung Chou is a Prinicpal Cloud Architect at BlueMetal, an Insight company. In his IT career, he has worked closely with customers and communities in various capacities including application development, technical support, solution sales, IT management and technology evangelism. Recently he has been focusing on hybrid cloud, IaaS solutions and emerging cloud technologies with strong interests in IoT and Machine Learning.

Yung's Sessions

  • Getting Started with Machine Learning, for Non-Data Scientists

    The term, Machine Learning, sounds fascinating. Can a machine learn? Imagine that. While feeling incredible and exciting, there is also perhaps uncertainty and intimidation. Machine can learn? What is exactly learning? How do we or a machine actually learn? What makes something qualified as learning, as opposed to just calculation or mapping? Will it eventually become smarter than human? Data Science over the years has developed many statistical and computational models to realize how a series of computations can approximate learning and there is no short of material to satisfy one's curiosity. With the adoption of cloud computing and increasing computing power in a personal device, Machine Learning has brought new opportunities for IT to better address business and technical challenges. At the same time, not all IT professionals want or need to be a Data Scientist, other than acquiring sufficient understanding and experience to apply "Machine Learning" for solving problems. While never is there a short-cut to learn, a productive way is available to get started with Machine Learning, which is what this session is about. This presentation speaks Machine Learning in layman's terms. The examples are day-to-day scenarios and easy to understand for grasping the concepts. The demonstrate will detail how a series of computations can achieve a learning experience. Overall, this presentation servers as a primer for helping those who are interested in learning Machine Learning get started productively. To achieve this goal, we will examine and focus on: "¢ How IoT, Big Data, Machine Learning and cloud computing complement one another and form a solution architecture for predictive analytics "¢ Essential Machine Learning algorithms and targets problem domains "¢ The logical steps of constructing a Machine Learning model

    Speaker: Yung Chou

  • Linux and Windows Containers, Not All Are Created Equal

    A container is an isolated and portable operating environment. It provides a mechanism for IT to deploy services in a portable, repeatable and predictable manner. Container technology is the next evolution in virtualization, and in addition to Linux, Windows now also offers two different types of containers for addressing various business needs.

    For those who are new to containers, this delivery serves as a jumpstart to accelerate your learning of the technology. If you have already had some experience on Linux containers, this session familiarizes you with the specifics on Windows containers and helps bridge and extend your skills for brining business values to both Linux and Windows communities. The objectives of this delivery are to:

    (1) Understand the similarities and differences between Linux, Windows Server and Hyper-V containers. (2) Learn essentials on enabling, configuring, deploying and managing containers. (3) Gain insights on which, why and how of employing a specific type of containers.

    Speaker: Yung Chou