- PicsArt’s new AI shows you similar images
The Aesthetics tool, still in beta testing, allows users to upload a photo and get an auto-generated list of tags, as well as a percentage rate on the “chance that this image is awesome.”
- According to developers, the neural network was trained to view an image much in the same way a human photo editor would, looking at factors such as color, sharpness, and subject.
- As early users report, the system seems to be fairly good at recognizing factors like whether or not the image is sharp and if the composition is interesting, but it is certainly far from a pair of human eyes.
- While the results of just how “awesome” a photo is may not be accurate for every image, the auto-tagging tool could prove useful, generating a list of keywords from object recognition as well as less concrete terms, like love, happiness, and teamwork.
- Clicking on a keyword will bring up an Everypixel search for other images with that same tag, or users can copy and paste the list of keywords.
Can a computer judge art? A new neural network program will rank photos by their probability of being awesome.
Continue reading “Try The Everypixel Tool To See What A Computer Thinks Of Your Best Shot”
- Python and R were included as they are known to be popular for machine learning and data science.
- All major tech giants are investing heavily in machine learning and data science to improve their products.
- To work in the field, you need to learn some particular programming languages and skills.
- We also see that in the past couple of years, there’s a sharp increase in the popularity of these languages in machine learning and data science’s context.
- Apart from the languages mentioned above, Scala and Julia were also included.
Short Bytes: In recent times, the demand for machine learning and data science experts has witnessed an exponential growth. So, what programming languages should one learn to land a machine learning or data science job? The answer lies in the languages like Python, R, and Java.
Continue reading “Most Popular Programming Languages For Machine Learning And Data Science”
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- In 2006 , the IEEE Conference on Data Mining identified the top 10 ML algorithms as
- Added by Tim Matteson 0 Comments 0 Likes
- The algorithms are described in the article What you wont learn in statistics classes .
- Algorithms from graph theory (to find the shortest path in a graph, or to detect connected components), from operations research (the simplex, to optimize the supply chain), or from time series, are not listed either.
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@KirkDBorne: “Top 10 [or Top 55] #MachineLearning Algorithms: #abdsc #BigData #DataScience #DataMining”
This was the subject of a question asked on Quora: What are the top 10 data mining or machine learning algorithms?
Some modern algorithms such as collaborative…
Top 10 Machine Learning Algorithms