Coursera Deep Learning

This course has a singular and clear aim, to empower you to do statistical tests, ready for incorporation into your dissertations, research papers, and presentations. The ability to summarize data, create plots and charts, and to do the tests that you commonly see in the literature is a powerful skill indeed. Not only will it further your career, but it will put you in the position to contribute to the advancement of humanity through scientific research.

This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.

Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry.

The past decade has witnessed the successful of application of many AI techniques used at `web-scale’, on what are popularly referred to as big data platforms based on the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases and stream computing engines. Online advertising, machine translation, natural language understanding, sentiment mining, personalized medicine, and national security are some examples of such AI-based web-intelligence applications that are already in the public eye. Others, though less apparent, impact the operations of large enterprises from sales and marketing to manufacturing and supply chains. In this course we explore some such applications, the AI/statistical techniques that make them possible, along with parallel implementations using map-reduce and related platforms.

Learn to teach introductory Java – with a focus on the new Advanced Placement Computer Science A curriculum. Preview the CS Awesome curriculum with overview videos to help you prepare for class efficiently. Learn teaching tips and access supporting materials from an expert in CS education with 15+ years experience including advice on teaching debugging, code tracing (for answering multiple choice questions) and problem solving patterns. Complete activities specifically designed for teachers and create materials you can use in your classroom.

This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. Neural networks use learning algorithms that are inspired by our understanding of how the brain learns, but they are evaluated by how well they work for practical applications such as speech recognition, object recognition, image retrieval and the ability to recommend products that a user will like. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods.

Teach Impacts of Computing in K-12. Be prepared to help students understand computing and its impacts in their digital worlds.

Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system – such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.