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The History of Machine Learning

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Machine learning dates back as far as the seventeenth century. Machines are now capable of learning tasks that have not been specifically programmed for them. It is possible to train these machines to operate even in unknown environments. What's the history machine learning? Find out more. It's an important topic for computer scientists and engineers alike. This article will help you learn more about the history of machine-learning.

Neural networks

In 1943, a neurophysiologist named Walter Pitts and Warren Sturgis McCulloch created artificial neural networks. Their work was instrumental in establishing the foundation for neural networks. The two scientists demonstrated that an output can only be active if an input is active using logic gates. Their goal was to simplify the brain's functioning, which in turn opened the doors for machine-learning.

Convolutional neural networks

In simple terms, convolutional networks are made of multiple layers artificial neurons. Each neuron within the network is a mathematical functions that calculates the activation. It is a weighted sum or sum of all its inputs. When they are given pixel values, artificial neurons learn to recognize visual features. CNN's first convolutional layer is the input image. Each layer generates activation map sets that highlight different elements of the image.

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Although the concept is not new to machine learning, it was first used for boosting in the 1990s. It's an algorithm that reduces bias in supervised training by making weak learners more powerful. Robert Schapire first proposed the concept of boosting in a 1990 paper, in which he described how to convert weak classifiers into strong ones. Weak learners are characterized by being only slightly correlated with the true classification, while strong learners are well aligned with the real classification.

Turing test

The Turing Test was one of the most important concepts of philosophy in the field of artificial intelligence. If a computer is to be used as the subject of interrogation, it must be capable producing an enquiry that the human interrogator doesn't understand. Turing Test pass: If the machine is capable of producing such an enquiry, it is known to have passed. The problem with this test is that it attracts projects whose primary aim is to fool the judges.

Deep learning

Machine learning and deep learning have a long history. It all started in 1965 when Valentin Grigoryevich Lapa and Alex Grigoryevich Ivakhnenko developed an algorithm that utilized polynomial activation function. It was intended to reproduce the brain's neural networks through data analysis. However, research into artificial intelligence was not funded in the 1960s. Individuals still continued to work on this topic.

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How To

How do I stream OBS mobile games?

Mobile gaming is the number one entertainment activity worldwide. The number of active players worldwide reached 2 billion in 2016. People spend much of their free time playing these games. However, streaming mobile games requires special equipment like a laptop or a desktop computer. This makes it difficult to use. This tutorial will teach you how to stream mobile gaming from your smartphone to any device, without connecting to a PC or Mac. We will teach you how to set up OBS (Open Broadcaster Software), and then configure it to play your mobile games.

OBS allows you to broadcast live streams and record videos. It is specifically designed for broadcasting. The program is easy-to-use and allows users to easily record and edit video. OBS supports many different platforms, including Windows, Linux, macOS, iOS, Android, etc.

These are the steps for streaming mobile games with OBSDroid.

  1. Install Open Broadcaster Studio on Android Devices
  2. Mobile Games with Open Broadcaster Studio
  3. Start Streaming Mobile Game on Your Device
  4. Enjoy streaming!


The History of Machine Learning