Machine Learning Lec 1 | waheed anwer

Download PDf directly

Or Read Directly

Computer Science Machine Learning Dr. Waheed Anwar Computer Science What is Machine Learning • How humans learn? • Computers or machines which work on our instructions. • Can a machine also learn from experiences or past data • Role of Machine Learning 1997: The IBM's Deep blue intelligent computer won the chess game against the chess expert Garry Kasparov, and it became the first computer which had beaten a human chess expert. Computer Science AI vs ML vs DL Computer Science AI vs ML vs DL Computer Science • The term machine learning was first introduced by Arthur Samuel in 1959. • Machine learning is a growing technology which enables computers to learn automatically from past data. • Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information. Machine Learning Computer Science • A Machine Learning system learns from historical data, builds the prediction models, and whenever it receives new data, predicts the output for it. How does Machine Learning work Computer Science • Machine learning uses data to detect various patterns in a given dataset. • It can learn from past data and improve automatically. • It is a data-driven technology. • Machine learning is much similar to data mining as it also deals with the huge amount of the data. Features of Machine Learning Computer Science • Rapid increment in the production of data • Solving complex problems, which are difficult for a human • Decision making in various sector including finance • Finding hidden patterns and extracting useful information from data. Importance of Machine Learning Computer Science At a broad level, machine learning can be classified into three types: 1. Supervised learning 2. Unsupervised learning 3. Reinforcement learning Classification of Machine Learning Computer Science • 2006: In the year 2006, computer scientist Geoffrey Hinton has given a new name to neural net research as "deep learning," and nowadays, it has become one of the most trending technologies. • 2012: In 2012, Google created a deep neural network which learned to recognize the image of humans and cats in YouTube videos. • 2014: In 2014, the Chabot "Eugen Goostman" cleared the Turing Test. It was the first Chabot who convinced the 33% of human judges that it was not a machine. • 2014: DeepFace was a deep neural network created by Facebook, and they claimed that it could recognize a person with the same precision as a human can do. • 2016: AlphaGo beat the world's number second player Lee sedol at Go game. In 2017 it beat the number one player of this game Ke Jie. • 2017: In 2017, the Alphabet's Jigsaw team built an intelligent system that was able to learn the online trolling. It used to read millions of comments of different websites to learn to stop online trolling. Machine Learning at 21st century Computer Science Applications of Machine Learning