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A.I. Artificial Intelligence - Wikipedia


Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.

Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Meet Inspiring Speakers and Experts at our 3000+ Global Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Association for Computing Machinery (ACM), USA, British Automation and Robot Association (BARA), UK, Association Française pour l'Intelligence Artificielle , France , Canadian Artificial Intelligence , Canada, Japan Robot Association (JARA), japan, International Federation of Robotics(IFR ), Germany, ARC Centre of Excellence for Robotic Vision, Australia

International Conference on Artificial Intelligence, Robotics & IoT (AI & IoT 2018) August 21-22, 2018, Paris, France ; Artificial Intelligence Conference April 16-17, 2018, Las Vegas, USA ; Automation and Robotics conference April 16-17, 2018, Las Vegas, USA; European Conference on Computer Science and Engineering June 20–21, 2018, Oslo , Norway; 4th International Conference on IoT , Wireless  &  Telecommunication May 28-29, 2018, London , UK; Computer science and Big data analytics and Machine learning conference August 30-31, 2018, Dubai; International Conference on Intelligent Robots and Systems October 01, 2018, Madrid, Spain

By registering for the conference you grant permission to Conferenceseries to photograph, film or record and use your name, likeness, image, voice and comments and to publish, reproduce, exhibit, distribute, broadcast, edit and/or digitize the resulting images and materials in publications, advertising materials, or in any other form worldwide without compensation. Taking of photographs and/or videotaping during any session is prohibited. Contact us for any queries.

Vijay Pande is a general partner in Andreessen Horowitz, a venture capital firm that invests in companies at the intersection of biology and computer science, including A.I. companies. He is a former director of the biophysics program at Stanford University.

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Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.

Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Meet Inspiring Speakers and Experts at our 3000+ Global Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Association for Computing Machinery (ACM), USA, British Automation and Robot Association (BARA), UK, Association Française pour l'Intelligence Artificielle , France , Canadian Artificial Intelligence , Canada, Japan Robot Association (JARA), japan, International Federation of Robotics(IFR ), Germany, ARC Centre of Excellence for Robotic Vision, Australia

International Conference on Artificial Intelligence, Robotics & IoT (AI & IoT 2018) August 21-22, 2018, Paris, France ; Artificial Intelligence Conference April 16-17, 2018, Las Vegas, USA ; Automation and Robotics conference April 16-17, 2018, Las Vegas, USA; European Conference on Computer Science and Engineering June 20–21, 2018, Oslo , Norway; 4th International Conference on IoT , Wireless  &  Telecommunication May 28-29, 2018, London , UK; Computer science and Big data analytics and Machine learning conference August 30-31, 2018, Dubai; International Conference on Intelligent Robots and Systems October 01, 2018, Madrid, Spain

By registering for the conference you grant permission to Conferenceseries to photograph, film or record and use your name, likeness, image, voice and comments and to publish, reproduce, exhibit, distribute, broadcast, edit and/or digitize the resulting images and materials in publications, advertising materials, or in any other form worldwide without compensation. Taking of photographs and/or videotaping during any session is prohibited. Contact us for any queries.

Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.

Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.


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