Today's Technology-Data Science
196 days ago
How to build effective machine learning models?
196 days ago
IoT-Advantages, Disadvantages, and Future
197 days ago
Make the learning process easy through these Artificial Intelligence Courses
- Solid understanding of the guiding principles of AI.
- Apply concepts of machine learning to real-life problems and applications.
- Design and harness the power of Neural Networks.
- Broad applications of AI in fields of robotics, vision and physical simulation.
- Understand what chatbots are, why they are revolutionary, and the business opportunity they represent;
- Learn how to leverage Watson Assistant and its AI capabilities to build and deploy chatbots on your website (or Facebook Messenger), even if you are not a programmer;
- Master the key principles of good chatbot design;
- Discover how to create Node-RED applications to connect Watson Assistant with other Watson services and data sources (like Twitter) to make your chatbots smarter;
- Understand how to integrate services like Watson Discovery to query data, extract sentiment, reveal emotions and customer preferences.
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can-and cannot-do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI