I find myself coming back to the same few pictures when explaining basic machine learning concepts. Below is a list I find most illuminating. 1. Test and training error: Why lower training error is not always a good thing: ESL Figure 2.11. Test and t…

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http://archive.ics.uci.edu/ml/datasets.html 例如 3 分类 鸢尾花 数据集: http://archive.ics.uci.edu/ml/datasets/Iris # import sklearn dir(sklearn.datasets) from sklearn import datasetsiris = datasets.load_iris()iris.data iris.target iris…

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11 Facts about Data Science that you must know Statistics, Machine Learning, Data Science, or Analytics – whatever you call it, this discipline is on rise in last quarter of century primarily owing to increasing data collection abilities and exponent…

Comprehensive learning path – Data Science in Python Journey from a Python noob to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place.…

Machine Learning Crash Course  |  Google Developers https://developers.google.com/machine-learning/crash-course/ Google's fast-paced, practical introduction to machine learning ML Concepts Introduction to Machine Learning As you'll discover, machine…

I joined Analytics Vidhya as an intern last summer. I had no clue what was in store for me. I had been following the blog for some time and liked the community, but did not know what to expect as an intern. The initial few days were good – all the in…

原文 :https://medium.com/machine-learning-in-practice/roles-on-a-machine-learning-project-216903a6dc12 Machine learning is a technical process, but it starts and ends with people. The first step to structuring your machine learning project is to consid…