Lecture1-Introduction to machine learning скачать в хорошем качестве

Lecture1-Introduction to machine learning

In this lecture, I have given a brief introduction to machine learning. Machine learning has got a lot of popularity in recent times. The application range of ml has gone far behind just email spam filter and image segmentation. Especially deep learning has found a new niche in 2020. Data analytics, big data, and deep learning are the areas where ML has found its contributions. Hope this lecture will set the path for the remaining course perfectly. Happy learning!! 00:10 About the course 02:22 What is ML 04:32 Applications of ML 05:00 Supervised, unsupervised, and reinforcement algorithm 07:16 other category of ML algorithms 8:21 Deep learning(what is ?) 10:25 Current happenings of ML application 11:31 Issue with ML Machine learning (ML) is a branch of computer science subjects that tries to improve the performance of any system automatically through experience. It is a subset of AI(artificial intelligence). This technique uses a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. The applications of ML are email filtering, computer vision, social network link prediction where it is difficult tough to build normal conventional systems. This subject ML is similar to computational statistics, which focuses on making predictions using computers; mathematical optimization, theory, and application domains to the field of machine learning. Data mining also is subject that relates closely to machine learning. The name of this course is Introduction to Machine Learning. Every related critical and easy concepts shall be discussed here. Also, practical examples of how to implement ML algorithms are to be shown here. Kindly subscribe to my channel and share, like my videos. Happy Learning! ~Programming Circle