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Alabama 4-H visits the Eastwood Branch Library for the summer learning program Blast Off! Destination Critters and Constellations. The crowd is introduced to an owl, snake, hawk, turtle, and a lizard, and learns how some of their behavior is tied to the constellations.
Please vote for Learning Pet in the Open Hardware Summit Scholarship!
www.openhardwaresummit.org/scholarship/
Designed for elementary school students, Learning Pet enriches lessons by creating a physical interface to interact with the virtual world. We demonstrate a number sorting game, where the student interacts with the robot to blast virtual UFO's with the lowest value. Correct answers are celebrated with a wing flap, and each level-up with a dance. We use the Accessory Development Kit to interface with mobile devices while away from the computer.
Learn more about Learning Pet here:
t.co/QJRkLNQsRS What do 33 days to change a habit have to do with #Learning and #Development? … t.co/dkeoI6BIxT (via Twitter twitter.com/learninggamewld/status/912993835072049152) check us out at ift.tt/2s2d4Zr
Introduction
Best Machine Learning Projects: This technologically driven world has seen machine learning emerge. It's a remarkable field that allows electronic devices and machines to become more intelligent. This field's primary goal is to make a basic machine more intelligent.
Working on projects is the best way for you to get an understanding of this technology. Other options include online course browsing through books that only help in understanding the basics of ML. However, it is possible to get a deeper understanding by working with real-world data. Kaggle also has data sets from some of these projects.
These datasets are useful for completing projects and learning new skills in the field. These projects are most applicable to you if your level is intermediate or an amateur and you're still learning more about Machine Learning. Kaggle also has many more complex projects for those who are ready to tackle more difficult tasks. These are the stages that machine learning is made up of
- A machine learning algorithm provides examples of input data as well as a list of possible tags to match that input.
- The input data is transformed into text vectors, which are numbers that indicate various data features.
- Algorithms are able to associate feature vectors, tags and samples on the basis of manually-tagged samples. This allows them to automatically make predictions while processing unseen data.
justartificialintelligence.com/best-machine-learning-proj...
A balloon artist, games, music, food, and prizes helped the Smithfield Branch Library kick off 2018 Summer Learning.
Into the distance, a ribbon of black
Stretched to the point of no turning back
A flight of fancy on a wind swept field
Standing alone my senses reeled
A fatal attraction is holding me fast
How can I escape this irresistible grasp?
Can't keep my eyes from the circling sky
Tongue-tied and twisted just an earth-bound misfit, I
Ice is forming on the tips of my wings
Unheeded warnings, I thought I thought of everything
No navigator to guide my way home
Unladened, empty and turned to stone
A soul in tension that's learning to fly
Condition grounded but determined to try
Can't keep my eyes from the circling skies
Tongue-tied and twisted just an earth-bound misfit, I
Above the planet on a wing and a prayer
My grubby halo, a vapour trail in the empty air
Across the clouds I see my shadow fly
Out of the corner of my watering eye
I dream unthreatened by the morning light
Could blow this soul right through the roof of the night
There's no sensation to compare with this
Suspended animation, a state of bliss
Can't keep my eyes from the circling skies
Tongue-tied and twisted just an earth-bound misfit, I
Pink Floyd, Learning to Fly
Pictures taken during the convertion training to Typhoon, of the first batch Spanish pilots. Instruction being provided by EADS test pilots
Please vote for Learning Pet in the Open Hardware Summit Scholarship!
www.openhardwaresummit.org/scholarship/
Designed for elementary school students, Learning Pet enriches lessons by creating a physical interface to interact with the virtual world. We demonstrate a number sorting game, where the student interacts with the robot to blast virtual UFO's with the lowest value. Correct answers are celebrated with a wing flap, and each level-up with a dance. We use the Accessory Development Kit to interface with mobile devices while away from the computer.
Learn more about Learning Pet here:
The Deep Learning Summit took place in Boston on 26-27 May 2015.
www.re-work.co/events/deep-learning-boston-2015
#reworkDL
The Deep Learning Summit took place in Boston on 26-27 May 2015.
www.re-work.co/events/deep-learning-boston-2015
#reworkDL