Machine Learning Overview For easy understanding of ML overview, this post shows the cheat sheet of types of ML with some algorithms as well as examples. Kindly follow my blog and stay tuned for more advanced posts on ML. Thank you! Reference: Fernandez-Delgado, M., Sirsat, M., Cernadas, E., Alawadi, S., Barro, S., Febrero-Bande, M., 2019. An extensive experimental survey of regression methods. Neural Networks 111, 11–34. URL: 10.1016/j.neunet.2018.12.010
Artificial Intelligence and Machine Learning are not as complicated as you think. In fact, you are exposed to these tools on a daily basis.
This infographic was posted by Robert Kelley on Dataiku. Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they are about crunching numbers, and creativity flourishes in a collaborative environment. One key to a collaborative environment… Read More »An Introduction to Key Data Science Concepts- Infographic
Today, we’re going to look at 5 basic statistics concepts that data scientists need to know and how they can be applied most effectively!
A short summary briefing the difference between Precision and Accuracy and how to distinguish them from each other in a confusion matrix with respect to their formulae and also their definitions described in this short poster .
Cet art, « c’est un coup d'œil dans mon esprit, une porte sur mon cœur. Une abstraction surréaliste de “et si” ? ».
There is a well-known engineering concept that the more parts a machine or contraption has, the more likely it will be prone to breaking. Same goes for weddings.
This is a sequel to the post I wrote over a year ago about some basic concepts of machine learning. Sometimes sequels are better like Terminator 2 or Wrath of Kahn, but you can’t enjoy them unless…
What I want to talk to you about today is the Holographic Principle and how it provides an explanation to Deep Learning. The Holographic Principle is a theory (see: Thin Sheet of Reality) that…
It’s not uncommon for car manufacturers to pay homage to their roots
GIGER SORAYAMA: a monumental exhibition brings together japanese artist hajime sorayama and swiss artist HR giger for the first time.
Daisy was Born and raised in Greater London since 1990, Daisy is an artist with an education in design and...
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Happy Friday! Here I am posting the second part of Anchor Chart Ideas - Plural Nouns Part 1. On Pinterest, there are tons of plural nouns anchor charts, but I rarely (if ever) see an anchor chart for the more uncommon cases of plural forms, e.g. the plural of nouns that come from Latin or from other languages. So here's my take on it: Of course, languages are ever-changing and some of the plural forms in the chart above are becoming less and less used, such as "datum". What happens is that "data" has been more frequently used as a singular noun. Or, some words are taking on other plural form alternatives, such as "indexes" instead of "indices". I don't really see a problem with that. Languages do (and should) transform. That being said, I don't think I'll be able to use "paparazzi" as a singular noun if it ever comes to that! I haven't mastered Italian yet, but I know how to make the plural of nouns in that language. One important case to keep in mind is the use of "alumni". "Alumni" is the plural form of the word "alumnus", which refers to a male student. The female student would be an "alumna" (plural: alumnae). When referring to a group of former students of both genders, the term "alumni" is to be used. A lot of people, though, end up misusing the word "alumni" as a singular noun - "He's a Harvard alumni" (instead of "He's a Harvard alumnus") - or using it to refer to a group of female students only - "The alumni of a prestigious all-girls school" (instead of "The alumnae of a prestigious…") I've recently read and heard some people using "alum" (singular) and "alums" (plural) to avoid the gender issue, but I don't use those terms myself. What about you? If you happen to read my blog, you know that I like to offer some chart ideas for teachers of French. So, allow me to post two anchor chart for French teaching: READ at For French Immersion: 7 Pinterest boards for French teachers Thank you for reading and have a great weekend!
Learn the basics of classic machine learning with Education Cloud Advocates at Microsoft, including regression, clustering, classification, natural language processing, reinforcement learning, time series forecasting, and more
Hardiman, the experimental exoskeleton prototype GE created in the 1960s, was intended to give the average person the ability to lift 1,500 pounds, but it never left the lab.
steampunksteampunk: “i love this rusty lil robot and his bucket of kittens ”
The late 19th century was a critical time of change: social, economical, political, and more. This change resulted from the revolutions of the previous centuries. Three such revolutions in particular are the French Revolution, Scientific Revolution, and the Christian Reformation. The culmination of these three revolutions gave birth to new political, social, and economical ideologies of Capitalism, Socialism- governmental and non-governmental, and Communism/Anarchism. Each ideology broke bonds w
The Industrial Revolution made our lives easier, but did it make them better?
artist kyle bean along with photographer jonathan knowles and and art director lauren catten present a contemporary look at the rube goldberg machine.
A robust method to make data ready for machine learning estimators
Wired Classic: This photographic tour of an abandoned nuclear missile silo that a former Chicago social worker turned into one of the most unusual homes in the world is Wired's most popular image gallery of all time, first published in October, 2009.
Self-taught free machine embroiderer Stacey Chapman has enjoyed such success with her new-found craft over the last seven years that...
I have met the confusion matrix during my first year of Data Science master's degree. The first time the professor had explained it, I…
Kyle Thompson takes all of the photos himself by setting up his camera on a tripod and using the self-timer to capture incredibly surrealistic photos.
If we go into the definition of the Internet of Things, we find out that it is the concept of inter-networking of physical devices, connected devices, smart devices, and other devices embedded with…
Incredible images from around the world.
The life of an A-lister seems, to put it extremely lightly, like a breeze. Of course, we aren’t discrediting lengthy, grueling stretches spent on set. But once those are a wrap, it’s a smooth ride toward never-ending Hulk-sized paychecks and a pied-a-terre in the Hollywood Hills. But before your favorite celebs entered a life of unmitigated leisure, […] More
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC. The full series is accessible here. 29 Statistical Concepts… Read More »29 Statistical Concepts Explained in Simple English – Part 1
