| parent,child |
| Big Data Analytics,Basic statistical analysis |
| Big Data Analytics,Machine learning |
| Characteristics of big data,Volume |
| Characteristics of big data,Velocity |
| Characteristics of big data,Variety |
| Characteristics of big data,Veracity |
| Applications of big data,Recommender systems |
| Recommender systems,Content-based recommender systems |
| Recommender systems,Collaborative filtering |
| Collaborative filtering,Factorization |
| Applications of big data,Web search |
| Web search,PageRank |
| Collaborative filtering,Item-item collaborative filtering |
| Basic statistical analysis,Singular value decomposition |
| Basic statistical analysis,Gradient descent algorithm |
| Basic statistical analysis,Linear regression |
| Machine learning,Supervised learning |
| Supervised learning,Classification |
| Supervised learning,Regression |
| Regression,Linear regression |
| Machine learning,Unsupervised learning |
| Unsupervised learning,Dimensionality reduction |
| Unsupervised learning,Clustering |
| Clustering,K-means |
| Dimensionality reduction,Singular value decomposition |
| Machine learning,Evaluation & performance |
| Evaluation & performance,Classification metrics |
| Evaluation & performance,Overfitting |
| Overfitting,Regularization |
| Evaluation & performance,k-fold cross-validation |
| Classification metrics,F1 score |
| Classification metrics,Precision |
| Classification metrics,Recall |
| Machine learning,Deep learning |
| Deep learning,Backpropagation |
| Deep learning,Multilayer perceptron |
| Deep learning,Recurrent neural network |
| Deep learning,Convolutional neural network |
| Recurrent neural network,Long short-term memory |
| Recurrent neural network,Gated recurrent unit |
| Recurrent neural network,Sequence learning |
| Convolutional neural network,Convolution |
| Convolutional neural network,Max pooling |
| Similarity,Jaccard similarity |
| Similarity,Cosine similarity |
| Similarity,Pearson correlation coefficient |
| Linear regression,Univariate linear regression |
| Linear regression,Multivariate linear regression |
| Classification,Multi-class classification |
| Classification,Support vector machines |
| Classification,Logistic regression classifier |
| Logistic regression classifier,Decision boundary |
| Logistic regression classifier,Logistic loss |
| Multi-class classification,One-vs-all approach |
| Classification metrics,Classification |
| Support vector machines,SVM with soft margin |
| Support vector machines,Margin |
| Clustering,Similarity |
| K-means,Centroid |
| K-means,Clustroid |
| Big Data Analytics,Applications of big data |
| Big Data Analytics,Characteristics of big data |
| Collaborative filtering,User-user collaborative filtering |
| Dimensionality reduction,Factorization |
| Deep learning,Gradient descent algorithm |
| Gradient descent algorithm,Stochastic gradient descent |
| Multilayer perceptron,One-layer neuron |
| Convolutional neural network,Filters |
| Recurrent neural network,Vanilla RNNs |
| Vanilla RNNs,Exploding and vanishing gradients |
| Multilayer perceptron,Activation functions |
| Long short-term memory,Output gate |
| Long short-term memory,Forget gate |
| Long short-term memory,Input gate |
| Gated recurrent unit,Update gate |
| Gated recurrent unit,Reset gate |
| Recurrent neural network,Seq2Seq model |
| Recurrent neural network,Bidirectional RNN |
| Sequence learning,One to many |
| Sequence learning,Many to one |
| Sequence learning,Many to many |
| Big Data Analytics,MapReduce |
| MapReduce,Workflow |
| Workflow,Map |
| Workflow,Shuffle |
| Workflow,Reduce |
| MapReduce,Implementations |
| Implementations,Apache Hadoop |
| Apache Hadoop,Hadoop Distributed File System |
| Hadoop Distributed File System,Heartbeat |
| PageRank,Power iteration method |
| PageRank,Problems of PageRank |
| Problems of PageRank,Spider traps |
| PageRank,Random teleports |
| Problems of PageRank,Dead ends |
| PageRank,PageRank equation |
| PageRank,Google matrix |
| PageRank,MapReduce program for PageRank |
| MapReduce,MapReduce program for PageRank |
| Singular value decomposition,Singular vectors |
| Singular value decomposition,Singular values |
| Singular value decomposition,Best low-rank approximation |
| Convolutional neural network,RGB image (3 channels) |
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