For those considering an autodidactic alternative, this is for you. You can't go deeply into every machine learning topic. There's too much to learn, and the field is advancing rapidly. Motivation is far more important than micro-optimizing a learning strategy for some long-term academic or career goal. If you're trying to force yourself forward, you'll slow down.
Previous Webinars – This webinar looks ahead to 2018 and developments we might see in the development and application of artificial intelligence and machine learning. With the pace of change so rapid in this area, predictions may be especially hard, but we will look at overall trends and pinpoint some areas of expected innovation. We will also examine the use cases we're seeing now and expect to see in 2018. And while it's very still very early days in the evolution of AI/ML but we will also look at areas of potential caution as the technology and market for it evolves.
Some of the nation's top schools, including the Massachusetts Institute of Technology and Georgetown University, are offering educational programs for nontechnical senior managers looking to learn more about artificial intelligence and its business applications. These programs are designed to be crash courses in AI, covering machine learning, robotics and other topics. They can vary in duration and delivery--some are multiweek online offerings, others are multiday boot camps--and typically land in the $3,000-a-student range.