MIT’s Computer Science and Artificial Intelligence Laboratory & MIT’s Center for Quantum Engineering
Few areas in computer science have generated the kind of attention Artificial Intelligence and quantum computing have enjoyed in recent years. The technologies are often discussed but often misunderstood. How can we determine what’s real and what’s overblown hype?
Like the first digital computers, quantum computers offer the possibility of technology exponentially more powerful than current systems. They stand to change companies, entire industries, and the world by solving problems that seem impossible today. A recent report by Gartner states that by 2023, 20% of organizations will be budgeting for quantum computing projects.
Extract more value from your organization’s data by learning to translate strategic business questions into specific analyses and execute them within an analytics platform. In this applied course, you will acquire the analytics and AI tools you need to build predictive machine learning models in no-code environments, anticipate model pitfalls and shortcomings, and lead efforts to make data science more accessible within your organization.
Reinforcement learning (RL), is enabling exciting advancements in self-driving vehicles, natural language processing, automated supply chain management, financial investment software, and more. In this three-day course, you will acquire the theoretical frameworks and practical tools you need to use RL to solve big problems for your organization.
