logseq/journals/2022_11_19.md

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• How to master machine learning ?

  • There is not really one answer to this question, as it depends on what area of machine learning you want to focus on. However, some tips that could be useful for mastering machine learning include:

    -Read as many books and articles on the subject as possible, and try to implement the algorithms yourself.

    • Do you have any books on machine learning to suggest and amazon links to buy them?

      • Here are some books on machine learning that you may find helpful:

        -Introduction to Machine Learning by Ethem Alpaydin -Machine Learning: A Probabilistic Perspective by Kevin P. Murphy -The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

      • -Introduction to Machine Learning with Python by Andreas Mueller and Sarah Guido https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413

        -Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291

        -Deep Learning by Geoffrey Hinton, Yoshua Bengio, and Aaron Courville https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618

  • -Subscribe to machine learning podcasts or Youtube channels, and watch lectures from experts in the field.

    -Attend machine learning meetups or conferences, and network with other practitioners.

    -Stay up to date with the latest research by following key figures in the field on social media, and reading their blog posts.