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Application security. Awesome Penetration Testing. Exploit development resources. List of public datasets. List of web application security.

Malware Analysis. Reverse Engineering. Vehicle security and car hacking. List of public available datasets. Moving target defense vs. Twitter API tutorial. Community Detection. Dynamics of Debates with Time Maps. Segmentation of Twitter Timelines via Topic Modeling.

Topic Modeling of Twitter Followers. How to recognize twitter bots 6 signals to look out for. How to spot a Social Bot. Deep Learning for Text Mining from Scratch.

Deep Learning Techniques for Sentiment Analysis. Embedding and Tokenizer in Keras. Language understanding using Keras, take one. LDA with metadata. A ten-minute introduction to sequence-to-sequence learning in Keras. LexVec - a word embedded model that outperform word2vec. NLP Finding Mr. NLP and Text Mining resources.

Using pre-trained word embeddings in a Keras model. Accuracy testing for time series forecasting. Another time series forecasting using R with accuracy testing on air passenger dataset. Time series cross-validation: an R example.

Using R for Time Series Analysis. Weka 3 - Mining Big Data. Hinton's Dropout in 3 Lines of Python. Introduction to Deep Learning with Python and Theano. Feature selections methods - find importance features. Handle missing values problems. How to get into the top 15 of a Kaggle competition using Python. Can GridSearchCV be used with a custom classifier? Python and Kaggle: Feature selection, multiple models and Grid Search.

Multiclass and multilabel learning algorithms. Multiclass and Multilabel ROC curve plotting. My experiment on credit card fraud detection with Python Notebook. A Neural Network in 11 lines of Python Part 1. Keras implementation of MLP. Plot confusing matrix.

Dealing with imbalanced data - class weights. Dropout and Regularization. Early Stopping. Early Stopping implementation.

Extract class label prediction and probabilities. High-level Learn Module in TensorFlow. Introduction to Scikit Flow. Multi-task Learning Algorithms. ROC Curve with tensorflow. Simple end-to-end TensorFlow examples. Some Tensorflow tutorial materials. Stock Market Prediction in Python Part 2.

TensorFlow Word Embeddings 1. Tensorflow and Deep Learning part 1. Tensorflow and Deep Learning part 2. Tensorflow and Deep Learning part 3. Tensorflow cost function consideration. Tensorflow: Problem when loss become NaN. Time series data with deep learning. Tutorial using Tensorflow for email classification.

Creating multiple subplots using plt. Plotting multiple figures with seaborn and matplotlib using subplots. Seaborn Line Plot Data Visualization. Subplotting with matplotlib and seaborn. Parameter Tuning Notes. Python API Reference. Winning solution of Kaggle Higgs competition: what a single model can do? Blood Donation on DrivenData: Exploration. Sensor fusion and input representation for time series classification using deep nets.

Deep Learning in a Nutshell — what it is, how it works, why care? Deep Neural Networks with Regularization. Free Deep Learning Ebook, Materials. How does deep learning work and how is it different from normal neural networks. Deep Learning in a Nutshell: 1 - Core Concepts. Deep Learning in a Nutshell: 2 - History and Training. Deep Learning in a Nutshell: 3 - Sequence Learning. Attention and Augmented Recurrent Neural Networks. Regularization in deep learning. Yes you should understand backprop.

Running a Wordcount Mapreduce example in Hadoop 2. Setting up a Apache Hadoop 2. Build a Hangman game with Java, Ajax, and Cloudant. Running Linux applications on Windows Ubuntu Start a service automatically.

Classification Performance Evaluation. Learning from Imbalanced Classes [Tom Fawcett]. Difficulty Beginner Intermediate Advanced. Explore Documents. Did you find this document useful? Is this content inappropriate? Report this Document. Flag for inappropriate content. Download now. For Later. Related titles. Carousel Previous Carousel Next. The World Is Flat 3.

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