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What Is Training Data? How It's Used in Machine Learning

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Training data is the initial dataset used to train machine learning algorithms. Models create and refine their rules using this data. It's a set of data samples used to fit the parameters of a machine learning model to training it by example.


Machine-learning improves the prediction of stroke recovery

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When blood flow to the brain is somehow reduced or restricted, a person can suffer a stroke. Stroke is fairly common; in Europe alone, there are over 1.5 million new cases each year. Some strokes can be lethal, and when they're not, they often result in serious damage to the victim's ability to move. In fact, stroke is one of the major causes of long-term disability today. Recovery can be a long and arduous road.


Teachers Are Feeling Burned Out. Artificial Intelligence Can Help. - AI Summary

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By deploying artificial intelligence (AI) in the classroom, however, experts like Bryant believe schools can remake education in ways that make teachers happier and students smarter. In 2016, Georgia Institute of Technology computer science professor Ashok Goel used AI to create a time-saving solution of his own: a virtual teaching assistant named Jill Watson that's available 24/7 to answer routine questions posed by graduate students, such as when exams will take place. "Having an AI agent available to answer basic questions allows students to get help any time, any place, and reduces the load on teachers," Goel explains. No matter how much of it they have, AI can maximize teachers' time by way of personalized and adaptive learning."The "The technology accelerates students through pieces where they don't need help and spends more time with them in areas where they do," explains Matthew Leavy, executive vice president and general manager of education publishing at Wiley, Knewton's parent company. AI captures students' work, provides video tutorials when learners get stuck and isolates learning opportunities that human instructors can focus on during subsequent live tutoring sessions. "We've married man with machine," says Thinkster Math founder and CEO Raj Valli, who likens the technology to a swimming coach who watches his swimmers' every stroke. By deploying artificial intelligence (AI) in the classroom, however, experts like Bryant believe schools can remake education in ways that make teachers happier and students smarter. In 2016, Georgia Institute of Technology computer science professor Ashok Goel used AI to create a time-saving solution of his own: a virtual teaching assistant named Jill Watson that's available 24/7 to answer routine questions posed by graduate students, such as when exams will take place. "Having an AI agent available to answer basic questions allows students to get help any time, any place, and reduces the load on teachers," Goel explains. No matter how much of it they have, AI can maximize teachers' time by way of personalized and adaptive learning."The


CoderZ Recognized by SIIA as Best Coding and Computational Thinking Solution

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DERRY, N.H. – July 26, 2021 – The computer science program CoderZ was named winner in the Best Coding and Computational Thinking Solution of 2021 as part of the annual SIIA CODiE Awards. The prestigious CODiE Awards recognize the companies producing the most innovative education technology products across the country and around the world. CoderZ is a powerful, self-paced virtual learning platform for grades 4-12 that teaches computer science integration by gamifying NGSS and CSTA-aligned curriculum. Any teacher, even those without computer science expertise, can use CoderZ's proven approach, which uses virtual robots to bring instruction to life. Each CoderZ course develops interdisciplinary skills like problem-solving, collaboration, and grit as well as core knowledge in physics, geometry, literacy, and algebra.


iiot ai_2021-07-30_03-17-11.xlsx

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The graph represents a network of 1,283 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 30 July 2021 at 10:25 UTC. The requested start date was Friday, 30 July 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 10-hour, 29-minute period from Tuesday, 27 July 2021 at 13:30 UTC to Friday, 30 July 2021 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


Minute Article - Member Blogs - By Madhavi Desai

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Using the blend of technologies similar to Artificial Intelligence like Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, etc, These decision support systems outshines its ability to analyze patterns, simplify processes by examining large amounts of volumetric data, and spot business opportunities. With the help of computerized models using self-learning technologies like data mining, pattern recognition, and natural language processing, Cognitive computing synthesizes the data fed to machine learning algorithms from different information sources to suggest the best possible answers. Pitching on the grounds of learning, reasoning, and self-correction and assisting humans to make smarter decisions, Cognitive Computing applications include speech recognition, sentiment analysis, face detection, risk assessment, and fraud detection.


Build the video game of your dreams with this online training bundle

Mashable

TL;DR: The 2021 Premium Unity Game Developer Certification Bundle is on sale for £14.41 as of Aug. 1, saving you 99% on list price. Last year might've sucked big time, but it was actually a great year for gaming. A couple shiny new consoles came out, as well as a treasure trove of new games. Major studios had some big releases, but the biggest standouts of the year were the indie gems. In fact, Among Us, a charming indie party game of teamwork and betrayal, ranked high on many lists as one of the best games of 2020.


Artificial Intelligence pioneered at Oxford to detect floods launches into space

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The work is a first step towards relaying real time information from space to disaster response teams. The Oxford team has developed a machine learning / artificial intelligence model called'Worldfloods' designed specifically for deployment in specialized hardware in space on low-cost satellites in Low Earth Orbit. The model is a flood segmentation model that has the purpose of detecting flood events and significantly improving disaster response operations. It has major implications in bringing down the cost of such technologies and making it accessible for low income countries. Atilim Güneş Baydin, based at the Departments of Engineering Science and Computer Science, Oxford, said: 'This will be the first time a machine learning model for this type of task will be actually deployed in space.


Deep Learning Approach to Detect Banana Plant Diseases

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Hello folks:) This is my final year research project based on deep learning. Let me give an introduction about my project first. When we talk about banana it's a famous fruit that commonly available across the world, because it instantly boosts your energy. Bananas are one most consumed fruit in the world. According to modern calculations, Bananas are grown in around 107 countries since it makes a difference to lower blood pressure and to reduce the chance of cancer and asthma.


Machine Learning Model Interpretation - KDnuggets

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Interpreting a machine learning model is a difficult task because we need to understand how a model works in the backend, what all parameters the model uses, and how the model is generating the prediction. There are different python libraries that we can use to create machine learning model visualizations and analyze who the model is working. Staker is an open-source python library that enables machine learning model interpretations for different types of black-box models. It helps us create different types of visualization, making it easier to understand how a model is working. In this article, we will explore Skater and what are its different functionalities.