technique


How Simulations will evolve Data Science – Towards Data Science – Medium

#artificialintelligence

Data Science can be put into two categories: Supervised and unsupervised learning. The difference is that supervised learning has a so-called label. Labels or target variables contain the information about the truth.


Why Cheap Learning Is In Your Future

#artificialintelligence

While deep learning racks up the likes among the big data crowd, a potentially bigger phenomenon is the emergence of extremely simple machine learning models that do not require sophisticated technical and mathematical skills, or what machine learning expert Ted Dunning calls "cheesy and cheap machine learning," or simply "cheap learning."


Check out this building that was 3-D-printed by a robot

Los Angeles Times

The future of construction just got a little bit more real. Researchers at MIT have created a mobile robot that can 3-D-print an entire building in a matter of hours -- a technology that could be used in disaster zones, on inhospitable planets or even in our proverbial backyards.



Data Science: Deep Learning in Python – Robin Smith – Medium

#artificialintelligence

This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. All the materials for this course are FREE.


Seven Techniques for Data Dimensionality Reduction

@machinelearnbot

The recent explosion of data set size, in number of records and attributes, has triggered the development of a number of big data platforms as well as parallel data analytics algorithms. At the same time though, it has pushed for usage of data dimensionality reduction procedures. Indeed, more is not always better. Large amounts of data might sometimes produce worse performances in data analytics applications.


Heirarchical Clustering Techniques using R

#artificialintelligence

The idea behind hierarchical cluster analysis is to show which of a (potentially large) set of samples are most similar to one another, and to group these similar samples in the same limb of a tree.


Watch this robot construct the world's biggest botmade building by itself

#artificialintelligence

In just half a day, a new type of robot built an igloo-shaped building half the diameter of the U.S. Capitol dome--all by itself. In the future, such autonomous machines could assemble entire towns, create wacky Dr. Seuss–like structures, and even prepare the moon for its first human colony.



Misconceptions about IoT Systems and Artificial Intelligence

#artificialintelligence

Artificial Intelligence (AI) has become the latest buzzword in the IT industry. Everything from the dishwasher and fridge to TVs and cars has become connected due to the Internet of Things (IoT), and with AI, many think that these products are going to think like human beings. Computers have certainly become more intelligent. In 2016, Google's AI software called AlphaGo finally beat one of the top Go players in the world, a feat that had been thought to be impossible as Go is very complex.