Machine Learning

Machine Learning  Introduction Concept Learning and the General to Specific Ordering Decision Tree Learning Artificial Neural Networks Bayesian Learning Instance-Based Learning Genetic Algorithms Learning Sets of Rules Analytical Learning Reinforcement Learning 👉 Machine Learning 2 Syllabus UNIT-1 :  Introduction &  Concept Learning and the General to Specific Ordering Introduction - Well-Posed Learning Problems, Designing a Learning System, Perspectives and Issues in Machine Learning, Introduction to Supervised, Unsupervised and Reinforcement Learning. Concept Learning and the General to Specific Ordering – Introduction, A Concept Learning Task, Concept Learning as Search, Find-S: Finding a Maximally Specific Hypothesis, Version Spaces and the Candidate Elimination Algorithm. 👉 Machine Learning 2- UNIT-1 (A) Notes: Introduction & Concept Learning and the General to Specific Ordering Notes 👉 Machine Learning 2 UNIT-1 (A) PPTs: Introduction PPTs 👉 Machine Learning 2- UNI

  ML: Intro to Machine Learning Q1.  Applications of the Supervised Learning Select the problem statements where you can apply supervised algorithms. 1.      For an e-commerce website, segmenting the unlabelled customers based on their behaviour from a large dataset. 2.      Given data on crop yields over the last 50 years, trying to predict next year's crop yields. 3.      Based on data samples of webpages, classifying a webpage whether the content on the web page should be considered "child friendly" or "adult". 4.      Given a large dataset of medical records from patients suffering from heart disease, try to learn whether there might be different groups of such patients.   Ans: Correct Answer: Given data on crop yields over the last 50 years, trying to predict next year’s crop yields. Based on data samples of webpages, classifying a webpage whether the content on the web page should be considered “child friendly” or “adult”