首页 人工智能 机器学习     /    Hands-OnMachineLearningwithScikit-LearnandTensorFlow中文版超清PDF附源代码与数据集

Hands-OnMachineLearningwithScikit-LearnandTensorFlow中文版超清PDF附源代码与数据集

上传者: corebox | 上传时间:2019/11/8 16:03:54 | 文件大小:27.81MB | 文件类型:rar
Hands-OnMachineLearningwithScikit-LearnandTensorFlow中文版超清PDF附源代码与数据集
著名的《Hands-OnMachineLearningwithScikit-LearnandTensorFlow》的中文翻译版PDF,由ApacheCN中文社区的机器学习爱好者们共同翻译。
一个人可以走的很快,但是一群人却可以走的更远。
这本书可以带领你入门机器学习,并掌握常用机器学习库的编程完成,在ML路上走得更远。

文件下载

资源详情

[{"title":"(73个子文件27.81MB)Hands-OnMachineLearningwithScikit-LearnandTensorFlow中文版超清PDF附源代码与数据集","children":[{"title":"handson-ml-source-code","children":[{"title":"index.ipynb <span style='color:#111;'>4.53KB</span>","children":null,"spread":false},{"title":"extra_capsnets-cn.ipynb <span style='color:#111;'>292.04KB</span>","children":null,"spread":false},{"title":"tools_matplotlib.ipynb <span style='color:#111;'>1.09MB</span>","children":null,"spread":false},{"title":"docker","children":[{"title":".env <span style='color:#111;'>32B</span>","children":null,"spread":false},{"title":"bashrc.bash <span style='color:#111;'>89B</span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'>3.61KB</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>2.99KB</span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'>260B</span>","children":null,"spread":false},{"title":"nbdime-2-toc.patch <span style='color:#111;'>527B</span>","children":null,"spread":false},{"title":"docker-compose.yml <span style='color:#111;'>507B</span>","children":null,"spread":false},{"title":"nbdime-1-details.patch <span style='color:#111;'>790B</span>","children":null,"spread":false},{"title":"jupyter_notebook_config.py <span style='color:#111;'>691B</span>","children":null,"spread":false},{"title":"bin","children":[{"title":"nbdiff_checkpoint <span style='color:#111;'>583B</span>","children":null,"spread":false},{"title":"rm_empty_subdirs <span style='color:#111;'>2.09KB</span>","children":null,"spread":false},{"title":"nbclean_checkpoints <span style='color:#111;'>4.87KB</span>","children":null,"spread":false},{"title":"tensorboard <span style='color:#111;'>44B</span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"10_introduction_to_artificial_neural_networks.ipynb <span style='color:#111;'>313.60KB</span>","children":null,"spread":false},{"title":"02_end_to_end_machine_learning_project.ipynb <span style='color:#111;'>1.17MB</span>","children":null,"spread":false},{"title":"08_dimensionality_reduction.ipynb <span style='color:#111;'>5.55MB</span>","children":null,"spread":false},{"title":"tensorflow_graph_in_jupyter.py <span style='color:#111;'>2.11KB</span>","children":null,"spread":false},{"title":"06_decision_trees.ipynb <span style='color:#111;'>200.24KB</span>","children":null,"spread":false},{"title":"math_linear_algebra.ipynb <span style='color:#111;'>657.70KB</span>","children":null,"spread":false},{"title":"extra_tensorflow_reproducibility.ipynb <span style='color:#111;'>55.16KB</span>","children":null,"spread":false},{"title":"14_recurrent_neural_networks.ipynb <span style='color:#111;'>656.79KB</span>","children":null,"spread":false},{"title":"images","children":[{"title":"distributed","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"deep","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"decision_trees","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"ann","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"tensorflow","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"ensembles","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"end_to_end_project","children":[{"title":"california.png <span style='color:#111;'>9.80KB</span>","children":null,"spread":false},{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"cnn","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false},{"title":"test_image.png <span style='color:#111;'>177.56KB</span>","children":null,"spread":false}],"spread":false},{"title":"unsupervised_learning","children":[{"title":"ladybug.png <span style='color:#111;'>561.02KB</span>","children":null,"spread":false},{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"svm","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"training_linear_models","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"autoencoders","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"rnn","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"classification","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"fundamentals","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"rl","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"03_classification.ipynb <span style='color:#111;'>433.86KB</span>","children":null,"spread":false},{"title":"13_convolutional_neural_networks.ipynb <span style='color:#111;'>4.63MB</span>","children":null,"spread":false},{"title":"09_up_and_running_with_tensorflow.ipynb <span style='color:#111;'>198.91KB</span>","children":null,"spread":false},{"title":"extra_capsnets.ipynb <span style='color:#111;'>250.49KB</span>","children":null,"spread":false},{"title":"16_reinforcement_learning.ipynb <span style='color:#111;'>1.35MB</span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'>2.21KB</span>","children":null,"spread":false},{"title":"ml-project-checklist.md <span style='color:#111;'>7.51KB</span>","children":null,"spread":false},{"title":"extra_gradient_descent_comparison.ipynb <span style='color:#111;'>303.03KB</span>","children":null,"spread":false},{"title":"15_autoencoders.ipynb <span style='color:#111;'>341.78KB</span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"lifesat","children":[{"title":"README.md <span style='color:#111;'>4.21KB</span>","children":null,"spread":false},{"title":"gdp_per_capita.csv <span style='color:#111;'>35.47KB</span>","children":null,"spread":false},{"title":"oecd_bli_2015.csv <span style='color:#111;'>395.96KB</span>","children":null,"spread":false}],"spread":false},{"title":"inception","children":[{"title":"imagenet_class_names.txt <span style='color:#111;'>30.93KB</span>","children":null,"spread":false}],"spread":false},{"title":"housing","children":[{"title":"housing.tgz <span style='color:#111;'>399.89KB</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>3.59KB</span>","children":null,"spread":false},{"title":"housing.csv <span style='color:#111;'>1.36MB</span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"04_training_linear_models.ipynb <span style='color:#111;'>835.13KB</span>","children":null,"spread":false},{"title":"future_encoders.py <span style='color:#111;'>58.73KB</span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'>9.94KB</span>","children":null,"spread":false},{"title":"05_support_vector_machines.ipynb <span style='color:#111;'>861.06KB</span>","children":null,"spread":false},{"title":"book_equations.ipynb <span style='color:#111;'>47.48KB</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>9.07KB</span>","children":null,"spread":false},{"title":"01_the_machine_learning_landscape.ipynb <span style='color:#111;'>274.43KB</span>","children":null,"spread":false},{"title":"07_ensemble_learning_and_random_forests.ipynb <span style='color:#111;'>544.06KB</span>","children":null,"spread":false},{"title":"extra_autodiff.ipynb <span style='color:#111;'>31.84KB</span>","children":null,"spread":false},{"title":"12_distributed_tensorflow.ipynb <span style='color:#111;'>24.15KB</span>","children":null,"spread":false},{"title":"11_deep_learning.ipynb <span style='color:#111;'>1.86MB</span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'>195B</span>","children":null,"spread":false},{"title":"tools_numpy.ipynb <span style='color:#111;'>620.20KB</span>","children":null,"spread":false},{"title":"tools_pandas.ipynb <span style='color:#111;'>441.51KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • brucepu:
    感谢分享,挺好的资源,不过是第一版,如果有第二版的翻译就好了。2020-07-10
  • AivenZ:
    很给力!!!感谢博主!!!2019-04-21

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明