{"product_id":"an-introduction-to-artificial-intelligence-and-machine-learning","title":"An Introduction to Artificial Intelligence and Machine Learning","description":"\u003cp\u003eIn todays ever-evolving engineering landscape, staying at the forefront is paramount. \u003cstrong\u003eAn Introduction to Artificial Intelligence and Machine Learning\u003c\/strong\u003e is your comprehensive guide to mastering Artificial Intelligence (AI), Machine Learning (ML), and the critical statistical underpinnings. Crafted especially for the students of engineering, it provides a structured path to harness AI and ML in your field. In the realm of AI, delve into search, problem-solving, adversarial search, logic, and ethics. The Statistical Methods section covers probability, sampling, and hypothesis testing essentials. Machine Learning takes you through data workflows, regression, classification, and ensemble learning and explores hidden insights in unsupervised learning. This book equips you with the tools to lead innovation and redefine possibilities in engineering.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUnit 1: Artificial Intelligence\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e1. Introduction\u003c\/p\u003e\u003cp\u003e2. Search and Problem Solving\u003c\/p\u003e\u003cp\u003e3. Local Search\u003c\/p\u003e\u003cp\u003e4. Adversarial Search - Games\u003c\/p\u003e\u003cp\u003e5. Logic and Logical Agents\u003c\/p\u003e\u003cp\u003e6. Uncertainty\u003c\/p\u003e\u003cp\u003e7. Top View - Agent and Environments\u003c\/p\u003e\u003cp\u003e8. Ethics\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUnit 2: Statistical Methods\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e9. Statistics and Probability Basics\u003c\/p\u003e\u003cp\u003e10. Independent Probability\u003c\/p\u003e\u003cp\u003e11. Discrete Random Variables\u003c\/p\u003e\u003cp\u003e12. Sampling\u003c\/p\u003e\u003cp\u003e13. Hypothesis Testing\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUnit 3: Machine Learning\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e14. An Introduction to Machine Learning\u003c\/p\u003e\u003cp\u003e15. Data Workflow and Data Mining\u003c\/p\u003e\u003cp\u003e16. Linear Regression Models\u003c\/p\u003e\u003cp\u003e17. Classification (Linear and Logistic Classification)\u003c\/p\u003e\u003cp\u003e18. Decision Tree\u003c\/p\u003e\u003cp\u003e19. Instance-Based Learning Algorithms\u003c\/p\u003e\u003cp\u003e20. Support Vector Machine\u003c\/p\u003e\u003cp\u003e21. Bayesian Learning\u003c\/p\u003e\u003cp\u003e22. Ensemble Learning\u003c\/p\u003e\u003cp\u003e23. Unsupervised Learning\u003c\/p\u003e\u003cp\u003eAnswers to Multiple Choice Questions\u003c\/p\u003e","brand":"S Chand","offers":[{"title":"Default Title","offer_id":45877036581062,"sku":"DADAX9358703954","price":6.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0695\/9389\/1014\/files\/51a9ZZgPecL.jpg?v=1779646322","url":"https:\/\/ergodemedia.com\/products\/an-introduction-to-artificial-intelligence-and-machine-learning","provider":"Ergodemedia","version":"1.0","type":"link"}