{"product_id":"matlab-machine-learning-recipes-a-problem-solution-approach-9781484298459","title":"MATLAB Machine Learning Recipes: A Problem-Solution Approach","description":"Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.\u003cbr\u003eThis book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eWrite code for machine learning, adaptive control, and estimation using MATLAB\u003c\/li\u003e\n\u003cli\u003eUse MATLAB graphics and visualization tools for machine learning\u003c\/li\u003e\n\u003cli\u003eBecome familiar with neural nets\u003c\/li\u003e\n\u003cli\u003eBuild expert systems\u003c\/li\u003e\n\u003cli\u003eUnderstand adaptive control\u003c\/li\u003e\n\u003cli\u003eGain knowledge of Kalman Filters\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 03\/02\/2024\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781484298459\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 447\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.79lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.95d","brand":"Michael Paluszek, Stephanie Thomas","offers":[{"title":"Default Title","offer_id":43733046689973,"sku":"9781484298459","price":46.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/files\/img_e76dbeb1-8ff2-435d-b696-9f9e501c02e7.jpg?v=1710257667","url":"https:\/\/pastforward.org\/products\/matlab-machine-learning-recipes-a-problem-solution-approach-9781484298459","provider":"Past Forward","version":"1.0","type":"link"}