machine learning and artificial intelligence
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hello every one
i need help with my artificial intelligence Project .
i am a Power-Electronics student and i have a project in which i have to use Artificial intelligence But i have no idea about this issue. i want to learn about
artificial Inteligence and machine learning and also how to implement it in Matlab .
could you Please introduce me some sources Or tutorial which is usefull for me ??
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Justin
am 14 Sep. 2023
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Hello! It's great that you want to learn about artificial intelligence and machine learning for your project. Here are some helpful resources and steps to get you started: Online Courses:Coursera and edX offer comprehensive courses on AI and machine learning, such as Andrew Ng's "Machine Learning" course on Coursera."Deep Learning Specialization" on Coursera by Andrew Ng can be a good follow-up once you have a foundation in ML. Books:"Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili is a practical introduction to ML using Python."Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron is another excellent resource. YouTube Tutorials:Channels like "3Blue1Brown" and "Sentdex" have great videos explaining ML concepts and practical implementation. Websites and Blogs:Visit websites like Towards Data Science, KDnuggets, and Medium for articles and tutorials on AI and ML. MATLAB Resources:MATLAB provides its own documentation and tutorials on machine learning. You can start with the MATLAB Machine Learning Toolbox documentation. Practice Projects:Kaggle is an excellent platform to practice ML. They have datasets, competitions, and kernels (code examples) you can learn from. Online Forums:Join communities like Stack Overflow and Reddit's r/MachineLearning for help when you have questions. Online Courses Specific to MATLAB:MATLAB offers courses and tutorials specifically for AI and machine learning. Check their official website for these resources. Remember, learning AI and ML is a gradual process. Start with the basics, gain a strong foundation in mathematics and programming (especially Python), and then gradually delve into more advanced topics. Practice and hands-on experience will be crucial for your project.
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