scikit-learn 是极其热门的 Python 开放源代码机器学习库,拥有超过 10 万名用户,其中包括许多 Google 员工。 概括而言,以下是在 tf.estimator 中实现的线性回归程序的格式: import tensorflow as tf # Set up a linear classifier. classifier = tf.estimator.LinearClassifier() # Train the model on some ...
Google-Machine-learning-crash-course 这个资源涵盖了谷歌机器学习速成课程(中文版)的所有内容,主要是为了方便国内机器学习爱好者学习这门课程。内容主要以加利福尼亚房价预测为线索,讲解了使用机器学习和深度学习解决现实世界问题的一般方法。学习了 Google机器学习速成课程.md 可以算作学习了机器学习功夫的招式。
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📖 Educative: text-based, video-free course, including set up out-of-the-box for you Cloud Labs to practice hands-on without the need to set up an environment (and payments). The link includes the highest available discount Educative offers....
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Pre-processing MLCC Course Content Oct 12, 2018 Python-Introduction Introduction to Python Added Oct 13, 2018 .DS_Store Python - Added Oct 13, 2018 .gitignore Initial commit Oct 12, 2018 LICENSE Initial commit Oct 12, 2018 MLCC_NITJ.ipynb Add files via upload Oct 12, 2018 README.md Upda...
Typical compression ratios (based on the benchmark suite) are about 1.5-1.7x for plain text, about 2-4x for HTML, and of course 1.0x for JPEGs, PNGs and other already-compressed data. Similar numbers for zlib in its fastest mode are 2.6-2.8x, 3-7x and 1.0x, respectively. More soph...
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