From Renze Consulting
Matthew Renze is a data science consultant, author, and public speaker. Over the past 18 years, he has taught over 100,000 IT professionals how to make better decisions with data. His clients include small software start-ups to Fortune 100 companies across the globe.
He’s a Microsoft MVP, ASPInsider, author for Pluralsight, author for DataCamp, and an open-source software contributor. His focus includes data science, machine learning, and artificial intelligence.
Over the past few years there have been a series of breakthroughs in machine learning that have lead to significant increases in AI capabilities. This has lead to several amazing technologies like machines that can drive cars, detect emotions, and diagnose diseases. These advances are largely the result of deep-learning algorithms like deep neural networks.
In this session, we’ll learn what deep learning is and why it is so important to the future of the software industry. We’ll learn about the current capabilities of deep-learning systems and their predicted future capabilities. In addition, we’ll learn about the tools that allow us to create deep-learning models like TensorFlow, Torch, and the Microsoft Cognitive Toolkit.
Does your career as a software developer cause you stress? What are you currently doing to manage the negative health effects of this stress? Software developers are uniquely predisposed to certain stress-related mental-health issues. The key problem is that we evolved to survive in a wilderness context. However, these same survival adaptations are now in direct conflict with our modern high-tech world.
In this session, we will learn about the behavioral neuroscience of mindfulness practices. We’ll discuss practices like meditation, biofeedback, and neurofeedback. In addition, we will learn how we, as software developers, can use these practices to reduce stress, improve our mental health, and increase our focus. There will be NO new-age nonsense, mystical mumbo-jumbo, or quantum flapdoodle in this session… only research-based science… real science… in plain English.