Andrew Ng recommend learning machine learning video
https://study.163.com/courses-search?keyword=%E5%90%B4%E6%81%A9%E8%BE%BE%C2%A0
Keras deep learning combat, PyTorch deep learning, Python deep learning, hands-on learning deep learning
https://azusa.blog.csdn.net/article/details/90737718
Keras, PyTorch, MXNet
user portrait
C, C ++ notes
JavaWeb + notes large data
of CDH. 6, CDH5
the Python notes
https://pan.baidu.com/s/1OBd1rbwGx0F8YnefM7R0Uw
extraction code 0hal
https://pan.baidu.com/s/1TKNZ6TtDxDtDUnezrcXJ8Q
extraction code 2ber
https://pan.baidu.com/s/1_XWMwcoNuDPdE3xkluo08A
extraction code b12m
https://pan.baidu.com/s/1eW8YSrasGiTXpBFSSJd78Q
extraction code 7aeu
https://pan.baidu.com/s/1xi_3T6Nw__Sy-QQaN29O4Q
extraction code 1gcs
Installation and use of 1.CDH 6, CDH5 mounting
https://blog.csdn.net/zimiao552147572/article/details/87190368
https://blog.csdn.net/zimiao552147572/article/details/94158217
2. User Portrait
https://blog.csdn.net/zimiao552147572/article/details/88425850
3.Spark real-time processing
https://blog.csdn.net/zimiao552147572/article/details/88556157
4. Large component mounting data (non CDH) and a total use articles
https://blog.csdn.net/zimiao552147572/article/details/88602425
5. Big Data components use Active Posts
https://blog.csdn.net/zimiao552147572/article/details/88602959
AI Keras under 6.window, TensorFlow, PyTorch, CUDA, cuDNN environment installed Posts, window installation PyTorch, MXNet installation window
https://blog.csdn.net/zimiao552147572/article/details/88854126
HTTPS: // blog.csdn.net/zimiao552147572/article/details/94333706
https://blog.csdn.net/zimiao552147572/article/details/95807839
7. AI AI: Keras PyTorch combat deep learning (updating from time to time)
https://blog.csdn.net/zimiao552147572/article/details/88867161
8. Search engine: elasticsearch, Solr, Lucene
https://blog.csdn.net/zimiao552147572/article/details/90050034
Acquaintance machine learning
1. supervised learning
https://blog.csdn.net/zimiao552147572/article/details/90512463
2. unsupervised learning
https://blog.csdn.net/zimiao552147572/article/details/90515011
Univariate linear regression
1. Linear regression
https://blog.csdn.net/zimiao552147572/article/details/90517414
2. cost function / cost function, loss function, the objective function
https://blog.csdn.net/zimiao552147572/ Article This article was / Details / 90,523,635
3. gradient Descent
https://blog.csdn.net/zimiao552147572/article/details/90578486
4. matrices, vectors
https://blog.csdn.net/zimiao552147572/article/details/90734447
software installation
window mounting the Octave
https://blog.csdn.net/zimiao552147572/article/details/90744827
multiple linear regression
1. multiple linear regression / multiple linear regression
https://blog.csdn.net/zimiao552147572/article/details/ 90744711
2. multivariate gradient descent
https://blog.csdn.net/zimiao552147572/article/details/91345773
3. features and polynomial regression
https://blog.csdn.net/zimiao552147572/article/details/91348767
4. The normal equation
https://blog.csdn.net/zimiao552147572/article/details/92214880
to quantify
https://blog.csdn.net/zimiao552147572/article/details/92395895
Logistic regression
https: //blog.csdn. net / zimiao552147572 / article / details / 92434368
The convolutional neural network image recognition
convolutional neural network: from scratch to build a CNN
https://blog.csdn.net/zimiao552147572/article/details/92801266
1. convolutional neural network
https://blog.csdn.net/ zimiao552147572 / article / details / 92850450