Search Constraints
Number of results to display per page
Results for:
Language
English
Remove constraint Language: English
Resource Type
MOOC
Remove constraint Resource Type: MOOC
Search Results
-
MOOC
In this anatomy course, part of the Anatomy XSeries, you will be introduced to the central and peripheral nervous systems. You will learn about basic neuroanatomy, sensory pathways, motor pathways and the autonomic nervous system. The course includes illustrated lecture videos and quizzes to help you expand and test your knowledge of the nervous system. By the end of this course, you will have a better understanding of how the entire body influences, and is influenced, by the nervous system.
- Course related:
- RS3030 Clinical Neurology & Neuroscience
- Subjects:
- Health Sciences
- Keywords:
- Nervous system Neuroanatomy
- Resource Type:
- MOOC
-
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
-
MOOC
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team
- Subjects:
- Computing
- Keywords:
- Machine learning Data mining Big data
- Resource Type:
- MOOC
-
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
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
-
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
-
MOOC
Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? In this course we are going to help you answer the questions: who commits fraud, why and how. We’ll also help you develop skills for catching them.
- Subjects:
- Accounting
- Keywords:
- Fraud -- Prevention Forensic accounting Fraud
- Resource Type:
- MOOC
-
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
- Keywords:
- Machine learning Neural networks (Computer science) Artificial intelligence
- Resource Type:
- MOOC
-
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:
- EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing and COMP4434 Big Data Analytics
- Subjects:
- Computing
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
-
MOOC
This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.
- Course related:
- COMP1011 Programming Fundamentals
- Subjects:
- Computing
- Keywords:
- Computer programming Computer science
- Resource Type:
- MOOC
-
MOOC
Based on advice from accomplished professionals in the business, HR and academic field, we have created a course that helps you build a solid foundation to succeed in job interviews and get that ultimate call. This course will change the way you prepare for and perform in job interviews. By the end of this course, you will have learned how to: ☛ achieve interview success in six steps ☛ find out how YOU can be an independent learner and become a life-long learner ☛ stand out from the crowd using four strategies ☛ avoid common mistakes About This Course
- Course related:
- ELC3222 Workplace English for Business Students II, CBS4842 Introduction to Literary Translation, and ELC3221 Workplace English for Business Students I
- Keywords:
- Applications for positions Employment interviewing
- Resource Type:
- MOOC