Blog 11

 While presenting there was a presentation that really stood out to me other than mine which was Social Credit Score. Machine Learning is how a computer system develops its intelligence, it uses software to think like humans and perform tasks without the help of humans. It uses algorithms and models to expand on its intellectual understanding of data. Self driving cars like tesla is a example of machine learning.

There is a process that teslas and other machine learning inventions use. For instance the step by step process includes Identifying relevant data sets and preparing them for analysis. After that it chooses the type of machine learning algorithm to use, then it Builds an analytical model based on the chosen algorithm which later trains the model on test data sets, revising it as needed. Finally it can tuns the model to generate scores and other findings.

Tesla can use this process every time. Due to Teslas being so technologically advanced it can determine your surroundings and learn specific locations the car goes to which will help the car in turns, parking, and driving whenever you use it it gets better with practice. 

In the beginning of machine learning Arther Samual used machine learning in the 1950’s in a game of checkers. This was called Alpha-Beta- Pruning. This included a scoring system based on the positions of the pieces. 

In 1957 Frank Rosenblatt created the Perceptron as a machine not a program but it ended up being the first program to be able to use image recognition.

Nearest Neighbor Algorithm created in 1967 by Marcello Pelillo. It was the basic pattern recognition, used for mapping routes and was the earliest algorithm to help the traveling salesperson find the most efficient route.

Multilayers provided the next step and opened a new path in neural network research. This was done in the late 1960’s. 

While machine learning is still a new technology being produced. We must be careful with it and how we use it. If we use it in good ways like saving pollution issues then that is great, if we use it in bad ways like less jobs available that is not okay. In the end the world is leaning towards more of a technological machine learning world which is great since it will help us solve problems faster and even give us more time with our families.