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Welcome to Registered Nurse RN. Our mission is to help aspiring nurses, nursing students, and new nurses. Aspiring nurses can learn about the different types of nurses, education requirements, and nurse salary statistics. Nursing students can access care plan examples, nursing school study tips, NCLEX review lectures and quizzes, nursing skills, and more. New nurses can access job resources such as interview tips, nursing job resumes, and job search tools.
- Subjects:
- Nursing
- Keywords:
- Nursing students Nursing Nurses
- Resource Type:
- Others
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MOOC
These free online courses are also known as MOOCs (massive open online courses). MOOCs are short courses that are usually run free of charge by major learning providers to expand your knowledge of a particular academic topic or to help you develop a specific skill. They are free to take part in and are open to everyone regardless of age, education level and location.
- Course related:
- RS2270 Rehabilitation Psychology, RS3410 Enabling Occupation: Musculoskeletal Rehabilitation, and RS3310 A: Clinical Sciences in Psychiatric Conditions
- Subjects:
- Health Sciences, Nursing, and Rehabilitation Sciences
- Keywords:
- Developmental disabilities Psychology Health
- Resource Type:
- MOOC
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MOOC
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
- Course related:
- COMP4431 Artificial Intelligence
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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MOOC
Master the building blocks of financial trading and investment over the course of 4 weeks. You will learn to trade with confidence by focusing on both the technical and fundamental aspects of trading/investment with our help and support throughout. You will learn what is required in order to successfully trade stocks, currency and commodity markets.
- Course related:
- AF3316 Investments
- Subjects:
- Finance
- Keywords:
- Securities -- Prices Investments Stocks Investment analysis
- Resource Type:
- MOOC
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MOOC
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
- Course related:
- AMA564 Deep Learning
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Neural networks (Computer science) Machine learning
- Resource Type:
- MOOC
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MOOC
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
- Course related:
- COMP4434 Big Data Analytics and EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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Video
Tutorials Point originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms. We bring simple to understand Text and Video tutorials at zero cost and cover many subjects including IT, Engineering, MBA, MCA, Management, Various Exams Preparation and Academic subjects. In this video playlist, it covers the topic of control system, types of feed back, functions of system, mathematical model of control system, mechanical system, force voltage analogy, torque current analogy, block diagram elements, and signal flow graph, etc.
- Course related:
- EE3005A Systems and Control
- Subjects:
- Electrical Engineering
- Keywords:
- Control theory Automatic control
- Resource Type:
- Video
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Others
Brilliant helps you see concepts visually and interact with them, and poses questions that get you to think. Our courses show you that math, science, and computer science are – at their core – a way of thinking. All of our courses are crafted by award-winning teachers, researchers, and professionals from MIT, Caltech, Duke, Microsoft, Google, and more, with these principles of learning in mind. Get started as a beginner with the fundamentals, or dive right into the intermediate and advanced courses for professionals. Brilliant is for ambitious and curious people ages 10 to 110.
- Keywords:
- Science -- Study teaching Technical education Technology -- Study teaching
- Resource Type:
- Others
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Others
Since Investopedia was launched in 1999, we’ve made it our mission to simplify complex financial information and decisions for our readers, giving them the confidence to manage every aspect of their financial life. Our millions of users come to us from all over the world and from all walks of life. Some are learning about money and investing for the first time, while others are experienced investors, business owners, professionals, financial advisors, and executives looking to improve their knowledge and skills. No matter who they are, we are here to help.
- Subjects:
- Finance
- Keywords:
- Investments Finance
- Resource Type:
- Others
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Others
freeCodeCamp is a proven path to your first software developer job. More than 40,000 people have gotten developer jobs after completing this – including at big companies like Google and Microsoft. If you are new to programming, we recommend you start at the beginning and earn these certifications in order. To earn each certification, build its 5 required projects and get all their tests to pass.You can add these certifications to your résumé or LinkedIn. But more important than the certifications is the practice you get along the way.If you feel overwhelmed, that is normal. Programming is hard. Practice is the key. Practice, practice, practice. And this curriculum will give you thousands of hours of hands-on programming practice. And if you want to learn more math and computer science theory, we also have thousands of hours of video courses on freeCodeCamp's YouTube channel. If you want to get a developer job or freelance clients, programming skills will be just part of the puzzle. You also need to build your personal network and your reputation as a developer. You can do this on Twitter and GitHub, and also on the freeCodeCamp forum. Happy coding.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Programming languages (Electronic computers) Computer programming Coding theory
- Resource Type:
- Others