OneNote 1 af 3 https://euc-onenote.officeapps.live.com/o/onenoteframe.aspx?ui=da... Introduction to Machine Learning Tuesday, 30 August 2022 20.48 ML is a research field at the intersection of statistics, AI and computer science also known as predictive analytics or statistical learning. 1. Supervised - Regression (linear function to model the data) • Classification (log function to model the data) 2. Unsupervised 3. Reinforcement learning - the most interesting lately - used mostly in robotics Problems ML can solve • ML algorithms that automate decision making processes by generalizing form known examples, also known as supervised learning --> users provides the algorithm with pairs of inputs and desired outputs • In regression algorithms, � is known before and use to check accuracy (but accuracy is not always the best metric) Examples: ▪ Identifying the zip code from handwritten digits on an envelope ▪ Determining whether a tumour is benign based on a medical image ▪ Detecting fraudulent activity in credit card transactions • In unsupervised algorithms only the data is known and no known output is given to the algorithm • The response algorithms, the � �� ������� Examples: ▪ Identifying topics in a set of blog posts ▪ Segmenting customers into groups with similar preferences ▪ Detecting abnormal access patterns to a website Each entity or row here is known as a sample (or data point) in machine learning, while the columns—the properties that describe these entities—are called features. Knowing Your Task and Knowing Your Data While you are building a machine learning solution, you should answer, or at least keep in mind, the following questions: • What question(s) am I trying to answer? Do I think the data collected can answer that question? • What is the best way to phrase my question(s) as a machine learning problem? • Have I collected enough data to represent the problem I want to solve? • What features of the data did I extract, and will these enable the right predictions? • How will I measure success in my application? • How will the machine learning solution interact with other parts of my research or business product? Linear regression 13-01-2023 23:18 OneNote 2 af 3 https://euc-onenote.officeapps.live.com/o/onenoteframe.aspx?ui=da... 13-01-2023 23:18 OneNote 3 af 3 https://euc-onenote.officeapps.live.com/o/onenoteframe.aspx?ui=da... 13-01-2023 23:18
