کتابی برای کار و آنالیز داده ها . با کتابخانه های مطرح و معروف:
NumPy
pandas
matplotlib
IPython
SciPy
از مجموعه Oreilly
زبان : انگلیسی
@Machine_learn

#A_Practical_Guide to_Sentiment_Analysis
#book
@Machine_learn

#python _springer
#book
@Machine_learn

#How_brains_make_up_their_minds
#book
@Machine_learn

#LEARNING_DOCUMENT EMBEDDINGS WITH CNNS
#paper
@Machine_learn

#Unsupervised Document Embedding With CNNs
#paper
@Machine_learn

#Efficient Object Localization Using Convolutional Networks
#paper
@Machine_learn

#You Only Look Once:
Unified, Real-Time Object Detection
#paper
@Machine_learn

#Tiled convolutional neural networks
#paper
@Machine_learn

#Improving Word Embeddings with Convolutional
Feature Learning and Subword Information
#paper
@Machine_learn

#Word Embedding Revisited: A New Representation Learning and Explicit Matrix
#paper
@Machine_learn

#Learning Sentiment-Specific Word Embedding
for Twitter Sentiment Classification
#paper
@Machine_learn

#deep_learning with tensorflow
#book
@Machine_learn

#Ensemble Machine Learning - Springer
#book
@Machine_learn

#analysis of different clustering
#paper
@Machine_learn

#outlier detection for temporal data
#paper
@Machine_learn

#Graph_Mining

🔴Graph Mining: A Survey of Graph Mining Techniques

@Machine_learn

#Graph_Mining

🔴A SURVEY OF GRAPH MINING TECHNIQUES
FOR BIOLOGICAL DATASETS

@Machine_learn