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.
Education, the ability to pass on knowledge, is one of the most ancient practices that sets humans apart from all other species on earth. It is through education that, instead of rediscovering and mastering the laws that govern the world we live in, new generations are able to pick up where their predecessors left off and enhance the knowledge and skills we possess. Now, the learning and teaching process is undergoing an unprecedented transformation thanks to ed-tech, a conglomerate of technologies that is redefining classrooms, schools, universities and the entire education process. At the forefront of those technologies is Artificial Intelligence, the often mystic and misunderstood science that is taking the world by storm and is helping (or replacing) humans at performing complicated tasks in various industries. Here's how AI is changing education for the better.
When you ask Siri for directions, peruse Netflix's recommendations or get a fraud alert from your bank, these interactions are led by computer systems using large amounts of data to predict your needs. The market is only going to grow. By 2020, the research firm IDC predicts that AI will help drive worldwide revenues to over $47 billion, up from $8 billion in 2016. Still, Coursera co-founder ANDREW NG, adjunct professor of computer science, says fears that AI will replace humans are misplaced: "Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is." Ng, who is chief scientist at Baidu Research, spoke to the Graduate School of Business community as part of a series presented by the Stanford MSx Program, which offers experienced leaders a one-year, full-time learning experience.
As marketers strive to engage in more meaningful conversations with their audience, understanding which words, phrases, sentences and even content formats resonate with particular audience members is key. Last year we saw progress in lexical analysis with the goal of finding content or text that drove overall marketing success. It did this by analyzing successful campaign content versus unsuccessful content. I believe 2017 will see that work get personalized by combining content analysis at the campaign level with content analysis at the individual level. The interconnected data makes it possible.
Artificial intelligence is the future of computer science and technology. Its impact will be almost immeasurable. The field is wide open today, with so much to learn, and so many ways to contribute. We have collaborated with industry leaders to bring you cutting-edge curriculum covering topics such as search and optimization; logic, reasoning, and planning; building models of probability; natural language processing; computer vision, and much more. You'll master skills and tools used by the most innovative AI teams across the globe as you delve into specializations, and gain experience solving real-world challenges.
Education has mostly followed the same structure for centuries -- e.g., the "sage on a stage" and "assembly line" models. As AI continues to disrupt industries like consumer electronics, ecommerce, media, transportation, and healthcare, is education the next big opportunity? Given that education is the foundation that prepares people to pursue advancements in all the other fields, it has the potential to be the most impactful application of AI. The three segments of the education market -- K-12, higher education, and corporate training -- are going through transitions. In the K-12 market, we are seeing the effect of the newer, more rigorous academic standards (Common Core, Next Generation Science Standards) shifting the focus toward measuring students' critical thinking and problem-solving skills and preparing them for college and career success in the 21st century.
In recent years, there's been no shortage of criticism that employers aren't providing enough of the training their workforces need to compete in the information economy. So here's some more fuel for this particular fire: executives report they'll probably need to "train" machines as much as they need to train people. A new survey of 2,000 business and IT executives from Accenture finds that more than three-fourths, 77 percent, believe that within three years, they will need to focus on training their machines as much as they do on training their employees. This kind of "training" involves the use of intelligent software, algorithms and machine learning. The same number of executives say they expect employees and intelligent machines to increasingly work side by side, in a collaborative way.
From MOOCs (Massive open online courses) to the use of iPads in schools, there's no doubt that technology is changing the way that we learn. Chatbots could have a similar effect, too -- by offering a means by which children can better interact with the subjects they're studying. That was the conclusion reached by UK-based tech company rehabstudio. During a recent hackathon event, they came up with the idea of creating an "edubot" that would enable kids to ask questions to a tyrannosaurus rex (called Tina) using Facebook Messenger. The finished product was a collaboration between rehabstudio (providing the tech) and National Geographic Kids (providing the data.)
Once you enrolled into this course you'll get an introduction of AI and walkthroughs of concepts such as Machine learning, Robotics, Game Theory, Computer vision and Natural Language Processing. You'll also learn about Machine learning algorithms, Applications of AI in Natural Language Processing, Robotics, Computer vision etc, This course is developed by Meassachusetts Institute of Technology. This course introduces the basic knowledge representation, Problem solving and learning methods of Artificial Intelligence. At the same time you'll learn the AI concepts such as knowledge representation, computer vision, Natural language processing and machine learning.
Udacity, the education platform focused on helping workers gain skills they need for great careers in tech, has partnered with IBM Watson, Didi Chuxing and Amazon Alexa to offer a new nanodegree in artificial intelligence, the companies announced today at the IBM World of Watson conference. IBM Watson is co-developing the curriculum of the course with Udacity. Chinese ride-hailing company Didi Chuxing intends to hire students who successfully complete the nanodegree, as does IBM. And Amazon Alexa is serving as an advisor to Udacity in developing the new AI nanodegree. According to Udacity's founder Sebastian Thrun, who previously started Google's innovation shop Google X and its self-driving car initiative, the new AI nanodegree will be for students who already have a level of mastery in software development.