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Post Graduate Program in Artificial Intelligence & Machine Learning

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The programme is designed for technology professionals who wish to advance their career as a specialist in the field of Artificial Intelligence and Machine Learning. Master Artificial Intelligence - The Next Digital Frontier PG Program - Artificial Intelligence & Machine Learning The Post Graduate Program in Artificial Intelligence and Machine Learning has been designed in collaboration with McCombs School of Business at The University of Texas at Austin, and delivered by Great Learning. It uniquely combines a comprehensive curriculum, interactive mentored learning, hands-on training, and career guidance from industry practitioners to enable successful learning and career outcomes. Taught by renowned faculty from UT Austin, experienced professionals and global academicians; the curriculum covers the most popular and widely-used AI and Machine Learning techniques and their applications to areas such as Deep Learning, Computer Vision, Natural Language Processing, and Neural Networks. All learning is project-based and hands-on to ensure that practical, industry-relevant skills are developed. On successful completion, candidates are awarded a certificate from The University of Texas at Austin.


Engineers will be crucial to AI-driven economies

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The UK government has already committed to making the country a leader in the use of AI through its announcement last year of the billion-pound AI sector deal, which aims to ensure the UK is at the forefront of the AI and data-driven economy and has the required digital infrastructure and skilled workforce. In light of this, now is an opportune time for those of us in academia to consider the range of graduate skills required to achieve it. AI systems are much broader than machine learning algorithms. They combine software with sophisticated electronics, pervasive connectivity, machines and physical infrastructure in order to sense, understand, act and, crucially, learn to do things better. These new AI systems envision machines designed specifically to work more cohesively with humans โ€“ employing real-time data, adapting to enhance performance and aiding user experience, while also creating cheaper designs that consume fewer natural resources.


r/MachineLearning - [P] Me and a friend made an online insult classifier as a university assignment. We could use your help estimating its real life usage accuracy.

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Basically we had to clean up about 4000 labelled examples of insult / not insult, vectorize it (just bag of words at the moment) and find a good classifier. What we found worked best was random forest and gradient boosting, with random forest rated at ROC 0.962 running on the web version at the moment. It's set up so one can grade each attempt and will log it accordingly. Since the data set is rather small I don't think the usual metrics can give a realistic result in terms of actual accuracy. But if we get it tested enough we should be able to estimate it from the received grades and also use those examples to further extend the data set.


Build Incredible Chatbots

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Learn to build and deploy chatbots for Facebook Messenger, WhatsApp, Slack and Skype using Wit & DialogFlow! Welcome to the most comprehensive and complete chatbot developer course. Learn concepts, tools and techniques that you will need to build fully functional chatbots for business and enterprise. In this course, we will go from zero to pro as we build multiple chatbots using a variety of techniques and platforms including Chatfuel, Wit and DialogFlow for a multitude of channels such as Facebook Messenger, WhatsApp, Slack and Skype. We will explore chatbot platforms that do not require you to write code, and all the way to a code intensive chatbot that can be built for specialised scenarios.


Artificial Intelligence 2018: Build the Most Powerful AI

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Learn, build and implement the most powerful AI model at home. Two months ago we discovered that a very new kind of AI was invented. The kind of AI which is based on a genius idea and that you can build from scratch and without the need for any framework. We checked that out, we built it, and... the results are absolutely insane! This game-changing AI called Augmented Random Search, ARS for short.


Machine Learning with Javascript

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If you're here, you already know the truth: Machine Learning is the future of everything. In the coming years, there won't be a single industry in the world untouched by Machine Learning. A transformative force, you can either choose to understand it now, or lose out on a wave of incredible change. You probably already use apps many times each day that rely upon Machine Learning techniques. So why stay in the dark any longer?


The Machines Are Learning, and So Are the Students

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For years, people have tried to re-engineer learning with artificial intelligence, but it was not until the machine-learning revolution of the past seven years that real progress has been made. Slowly, algorithms are making their way into classrooms, taking over repetitive tasks like grading, optimizing coursework to fit individual student needs and revolutionizing the preparation for College Board exams like the SAT. A plethora of online courses and tutorials also have freed teachers from lecturing and allowed them to spend class time working on problem solving with students instead. While that trend is helping people like Mrs. Turner teach, it has just begun. Researchers are using A.I. to understand how the brain learns and are applying it to systems that they hope will make it easier and more enjoyable for students to study.


2-day training courses - O'Reilly Strata Data & AI Conference in San Jose 2020

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All training courses take place 9:00am - 5:00pm, Sunday, March 15-Monday, March 16. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size. Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Monday.


Imagine Cup Junior : Microsoft targets younger students with Artificial Intelligence for Good Challenge - MCGH

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Microsoft is extending its global student competition program Imagine Cup to younger students with new Imagine Cup Junior competition. The new competition will target secondary school students between the ages of thirteen to eighteen globally. Microsoft says Imagine Cup Junior competition will help students learn about technology and build 21st century skills like communication, collaboration, critical thinking and creativity. The first edition will focus on Artificial Intelligence and introducing the students to Microsoft's AI for Good initiatives. Microsoft VP Education, Anthony Salcito says "we believe the future is in the hands of students around the world. Who are increasingly driven by a sense of purpose and want to have a positive impact on the world and their communities".


Artificial intelligence, virtual reality and learning English

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Learning a foreign language can certainly benefit from the combination of virtual reality and artificial intelligence. The time when children who had logical analysis difficulties received private tuition with their books in hand is becoming less common. Today, those who need homework support can study with a real-life teacher in their own room without leaving their home. The online tutor is already well known in countries such as Britain but is gradually being introduced in other countries as an educational figure. Web courses on how to become a tutor online have started to appear on the internet, and this is indicative of how this concept is increasingly acquiring its own specificities and how highly specialized skills are needed, different from those required for a classroom teacher.