It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or do your research as experienced investor. Learning pairs trading analysis is indispensable for finance careers in areas such as quantitative research, quantitative development, and quantitative trading mainly within investment banks and hedge funds. It is also essential for academic careers in quantitative finance. And it is necessary for experienced investors quantitative trading research and development. But as learning curve can become steep as complexity grows, this course helps by leading you step by step using MSCI Countries Indexes ETF prices historical data for back-testing to achieve greater effectiveness.

Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

This course is ideal for those that are interested in data mining, and it is a beginner course. You should have a beginner to intermediate understanding of Python as I don't spend a lot of time on the programming aspect. Most data in the world (whether text,audio,visual, etc) is raw or unlabeled. This is precisely the reason that unsupervised machine learning has become so important. By using certain approaches to unsupervised machine learning (like clustering) we can discover patterns or underlying structures in data.

Salesforce has done it again. They are taming the complexity of Artificial Intelligence, enabling you to make massive amounts of decisions and discover patterns in reams of data, all with clicks instead of code. This course is for the absolute beginner to Artificial Intelligence (AI), Machine Learning, Deep Learning, and Data Science. If you are feeling overwhelmed by either the tsunami of data that you are tasked with trying to make sense out of, or overwhelmed by the tsunami of media coverage around Artificial Intelligence, Deep Learning, Data Science, and Machine Learning, I am here to share a competitive advantage. There is an AI and Data Discovery platform that can be constructed and configured with clicks instead of code.

Python is a dynamic modern object -oriented programming language. It is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer. It is also known as a general purpose programming language due to it's flexibility.

Robots conjure images of some distant future – a crisp, white-walled existence. Except that time is now. Last month, one leading futurologist predicted that the global robot population, already more than 57 million, will outnumber humans by 2048, and that's a conservative estimate. Automation is already ingrained in everything from warehouse management to selling financial products. Workers are worried that they are going to find themselves replaced in the jobs market; employer services provider ADP recently surveyed 1,300 working adults and found that a third believe their job will be automated within the next 10 years.

The University of Minnesota has been a leader in recommender systems since developing GroupLens, the first automated recommender system in 1993. Today the University continues that leadership with leading research on recommender algorithms, applications, and evaluation. The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

With this course, you'll have the keys to the entire Python Data Science kingdom!

Know the key concepts of Machine Learning. Learn how to create disruptive business models based on Machine Learning. Every few years, there is a technological trend that leads to the creation of thousands of startups and/or new businesses. At present, we can say without any doubt that one of these trends is Machine Learning (Artificial Intelligence). To put it in context, McKinsey (one of the leading Management Consulting companies worldwide) tells us that Tech giants including Baidu and Google are spending between $20B to $30B on AI, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions.

Today and in the very near future, the guest experience at Marriott hotels will be quite different than in the past. After checking in, you'll use a smartphone app to alert the staff when you'd like your room to be cleaned. You'll use a voice-activated digital assistant to adjust the lighting, temperature and even the digital art on your room's walls. Instead of summoning a staffer, the hotel will send a robot butler to your door to deliver the fresh linens. When you're ready to go out, rather than stopping by the concierge desk, you can use the hotel app to recommend nearby restaurants and nightclubs. Welcome to the brave new world of automation and artificial intelligence.