computer based training


News - Research in Germany

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For many people, speaking off the cuff to a large audience does not come easily. But without professional feedback, rehearsing speeches and presentations can be a tough process. A psychologist, a management scientist and an IT specialist have developed an online training tool that uses artificial intelligence to evaluate users' speaking skills and personal characteristics. The team has now established the start-up Retorio at the Technical University of Munich (TUM) to launch the software on the market. It's a scenario many people can relate to – standing all alone in front of an audience, clutching a microphone with clammy hands and finding one's mouth has gone dry.


Personalized Learning: Artificial Intelligence and Education in the Future

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It goes without saying that artificial intelligence is changing the nature of industries from transportation to finance, and education is no different with the prospect of personalized learning quickly becoming a reality. As more and more of a student's education is experienced through a computer, data on their educational progress can be collected, leading to more personalized learning plans while assisting the teacher in identifying problem areas for students. While artificial intelligence in education might appear unnerving for some, the benefits are too great to ignore. There are few spaces in life that haven't been touched in some form by computer software. Whether it's shopping, dating, or just keeping up with old friends, everything we do seems to be mediated in some form by computers.


Artificial Intelligence III - Deep Learning in Java

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This course is about deep learning fundamentals and convolutional neural networks. Convolutional neural networks are one of the most successful deep learning approaches: self-driving cars rely heavily on this algorithm. First you will learn about densly connected neural networks and its problems. The next chapter are about convolutional neural networks: theory as well as implementation in Java with the deeplearning4j library. The last chapters are about recurrent neural networks and the applications!


Seven Ways Educators Can Use Artificial Intelligence - The Tech Edvocate

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Innovations in artificial intelligence development and usage are influencing sectors far beyond the tech world, leaving few areas untouched. Even the educational field will soon be reaping many benefits of AI applications. In this article, we will discuss seven ways educators can use artificial intelligence. This may be the most promising application area of AI in education. AI in schools could track individual students' progress and either adjust the coursework or notify the teacher that a student is having difficulties understanding the material.


The ABCs of Machine Learning Experts Who Are Driving the World in AI

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Machine learning is an incredibly broad and diverse field, with a non-stop increase on research, along a multitude of applications. Thus writing a list enlisting the best machine learning researchers on the field proves challenging for a number of reasons. Please mind that this list encompasses researchers who are currently working on the field. Also, please mind that this list is by no means ranked. Everyone listed below has done extraordinary work to advance humanity's state of AI further.


Machine learning software can easily gauge brain atrophy

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Artificial intelligence can quickly and accurately rate the amount of atrophy in parts of the brain, which can help in the diagnosis and research of dementia. A new study reported in arXiv.org, It is an inexpensive way to quantify brain atrophy and helps improve the specificity and sensitivity of diagnosis. These visual atrophy ratings aren't used widely because the ratings are inherently subjective, researchers note. Radiologists performing them need to be experienced in such work, and the assessments are tedious and time consuming--it takes several minutes per image for a neuroradiologist to perform the rating.


45 Best Data Science Certification for Data Scientists JA Directives

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Are you looking for Best Data Science Degree Online? This Online Data Science Course list will help you to become a top Data Scientist. Data science or data-driven science is one of today's fastest-growing fields. Do you want to become a Data Scientist in 2019? The list of the Data Science Degree will give you a clear idea from data science definition to expert's levels. If you don't know how to get data scientist certification then this data science certificate programs online will help you to get an online data science certificate. You will be able to get Microsoft data science certification or even Harvard data science certificate with this excellent collection of online courses. Also, this Data Science training will give you an idea about data science, python, data scientist, big data, analytics, machine learning, deep learning and Artificial Intelligence (AI) which are the most booming topics now. You can be a data science master in a short period of time. All big companies, publishers, advertisers, and other industries are now highly depended on data science or machine learning. So, it is high time to learn some skills in data science, for example, get the high demanded Data Science online certifications. How does it work at the present time, why data scientist's career and data science jobs are in top position? If you like a trendy career, you have that opportunity right now and get hired by the big industries. At the same time, online entrepreneurs and business personals also need to update themselves with the fundamental machine learning skills to compete with the fast-moving industry. Below are few best Data Science online courses that might assist you to jump-start the knowledge of data science sector. Best Data Science online tutorial and programs listing displays the'Best Course,' 'Product Description,' 'Rating,' 'Students Enrolled' 'Product's Image' and as well as an Enroll button to purchase the Courses from respective learning platforms for your convenience. Description: If you want to become a successful data scientist then you should take this course. Just learning statistics, data visualization and data wrangling is not enough. You also need to know how to ask the right questions and tell the right story from your data. Description: If you want to learn machine learning then this is the perfect course for you. Two professional data scientists designed this course so that you can learn the theory and algorithms behind the machine learning. If you just learn the coding libraries then you will not know what is actually going on in the back end. In fact, you will not be able to perform well in the industries. Which is why this is a very good course to get started into the machine learning world. The course also includes study materials about coding libraries.


10 Machine Learning, Data Science, and Deep Learning Courses for Programmers

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The first programming exercise "Twitter Sentiment Analysis in Python" is both fun and challenging, where you analyze tons of twitter message to find out the sentiments e.g.


Dyson vacuums, Beats, Apple iPad, Google Home, Fitbit, and more on sale for Jan. 3

Mashable

We're almost done with the first week of 2019 and with the weekend coming up, you deserve to take a much needed break from work and post-holiday hangovers. Spend this weekend getting your home in order with deals on products that can help you out. We've rounded up the best deals on home products and vacuums, all sorts of tech devices, and Amazon devices for video streaming, smart home, and home security. We also found deals on Udemy online courses for just about anything, such as web development, animation, photography, and more. Here are the best deals from Amazon, Walmart, Best Buy, and Macy's for Thursday, Jan. 3.


QU'EST-CE QUE L'INTELLIGENCE COLLECTIVE ? Qué es la inteligencia colectiva? . INFOGRAPHIE #infographic

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"With the growing interest in complex adaptive systems, artificial life, swarms and simulated societies, the concept of "collective intelligence" is coming more and more to the fore. The basic idea is that a group of individuals (e.g. Complex, apparently intelligent behavior may emerge from the synergy created by simple interactions between individuals that follow simple rules." A collective mental map is developed basically by superposing a number of individual mental maps. There must be sufficient diversity among these individual maps to cover an as large as possible domain, yet sufficient redundancy so that the overlap between maps is large enough to make the resulting graph fully connected, and so that each preference in the map is the superposition of a number of individual preferences that is large enough to cancel out individual fluctuations.