Transforming everything to vectors with Deep Learning: from Word2Vec, Node2Vec, to Code2Vec and Data2Vec

Let us discuss the state-of-the-art methods for transforming every kind of input data into fixed-length vectors of continuous values, including Word2Vec, Doc2Vec, Image2Vec, Node2Vec, Edge2Vec, Code2Vec, and Data2Vec. Continue reading Transforming everything to vectors with Deep Learning: from Word2Vec, Node2Vec, to Code2Vec and Data2Vec

Reinforcement Learning approaches for the Join Optimization problem in Database: DQ, ReJoin, Neo, RTOS, and Bao

How can we use Reinforcement Learning for the problem of Join optimization in Database? Let us take a look at the 5 recent and outstanding approaches from top researchers in the world: DQ, ReJoin, Neo, RTOS, and Bao. Continue reading Reinforcement Learning approaches for the Join Optimization problem in Database: DQ, ReJoin, Neo, RTOS, and Bao

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Data Mining – Machine Learning

Getting started with Machine Learning What are Computer Science, Artificial Intelligence and Machine Learning? Different types of Machine Learning Machine Learning Applications Introduction to Python and Jupyter Numpy, Pandas, Scikit-learn and Matplotlib Data Scraping Data scraping: City dataset from Versus.com Data scraping: Phone dataset from Versus.com Data scraping: KDnuggets.com’s post statistics Data Scraping: Android App Dataset from Google Play Store Data Cleaning Data Cleaning case study: Google Play Store Dataset Preparatory Phase Control Variable Splitting data into a Training set and a Validation set Imbalanced Learning: sampling techniques Exploratory Data Analysis QQ plot versus PP plot versus Probability plot Multicollinearity … Continue reading Data Mining – Machine Learning