Modern Software : Machine Learning Platforms
Our industry never stops changing, but sometimes those changes are trivia and fluffy. Sometimes they are fundamental and enduring. This series is going to highlight some of the most important trends happening in the hardware, software, data and architecture spaces.
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.
Modern software developers who want to learn from their data need to understand the machine learning landscape.
We will cover:
- The major languages and platforms involved in the machine learning space
- Different approaches to data science and machine learning for
- Individual analysts
- Backend developers
- API-oriented strategies for exposing Machine Learning capabilities
- An overview of the major platforms for training and deployment across a variety of hardware and software architectures
About Brian Sletten
Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, AI/ML, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.
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