machine learning

1 The Time Series Forecasting Problem

#Machine Learning #Time Series #Deep Learning

Forecasting time series

1 Receiver Operating Characteristics: ROC

#Machine Learning #Performance #Basics

ROC is used to judging the performance of classifiers

1 Embedding

#Machine Learning #Embedding

1 Factorization

#Machine Learning #Factorization #Tensor

1 Feature Engineering

#Machine Learning #Feature Engineering

Feature engineering is crucial to the performance of our mdoel.

1 Naive Bayes

#Machine Learning #Classification #Bayesian

Naive Bayes

1 Artificial Neural Networks

#Machine Learning #Artificial Neural Networks #Basics

Simple artificial neural networks using multilayer perceptron

1 Machine Learning Overview

#Statistical Learning #Machine Learning #Basics

A brief overview of machine learning

2 Time Series Forecasting with Deep Learning

#Machine Learning #Time Series #Deep Learning

Evaluate time series models

2 Traditional Methods on Graph

#Graph #Machine Learning

Some basic concepts about graph and traditional algorithms

2 Data Types and Level of Measurement in Machine Learning

#Machine Learning #Feature Engineering #Statistics #Data Types #Basics

identifying the data types and level of measurement is important in data science

2 Bayesian Linear Regression

#Machine Learning #Regression #Bayesian

Bayesian Linear Regression

2 NMF: Nonnegative Matrix Factorizatioin

#Machine Learning #Factorization

Nonnegative Matrix Factorizatioin has a bright future

2 Word2vec

#Machine Learning #Embedding #Word2vec

Single-layer neural network creates embedding space

2 A Physicist's Crash Course on Artificial Neural Network

#Machine Learning #Artificial Neural Networks #Basics

A very very brief introduction to neural network for physicists

2 Embedding

#Data Science #Machine Learning

Embedding methods in machine learning

2 Workflows

#machine learning #workflow #EDA

Workflow for data

3 Evaluating Time Series Models

#Machine Learning #Time Series

Evaluate time series models

3 Tensor Factorization

#Machine Learning #Factorization #Tensor

A generalization of matrix factorization

3 Boltzmann Machine

#Machine Learning #Artificial Neural Networks #Basics

Boltzmann machine is much like a spin glass model in physics. In short words, Boltzmann machine is a machine that has nodes that can take values, and the nodes are connected through some weight. It is just like any other neual nets but with complications and theoretical implications.