Build a list of recent blog posts in computer science that deal with time series data. Please build a simple spreadsheet that has for each source the title, type (blog post), summary, and link. Please aim for about 50 blog posts (volume is more im...

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Build a list of recent blog posts in computer science that deal with time series data. Please build a simple spreadsheet that has for each source the title, type (blog post), summary, and link. Please aim for about 50 blog posts (volume is more important than quality)

A list of recent (before 2010) blog posts in computer science that relate to time series data have been found, and are included in the requested spreadsheet. Title, URL, and a brief summary of the blog contents are also included. Machine Learning Mystery proved to be a very useful source for information regarding time series data, and a common theme in blog topics surrounded the use of the data for predicting future outcomes, as well as numerous training blogs. For reference, the 50 blog titles are below as well. 

TIME SERIES BLOGS INCLUDED IN REQUESTED SPREADSHEET1 — Introduction to Time Series
2- A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)
- Azure Microsoft
- Time Series, Annotations, and Anomalies with Kibana
- Elastic Blog
— Kibana's New Times Series Visual Builder — Part 2
— Tidy Time Series Analysis, Part 1
— Tidy Time Series Analysis, Part 2: Rolling Functions
— Tidy Time Series Analysis, Part 3: The Rolling Correlation
— Tidy Time Series Analysis, Part 4: Lags and Autocorrelation
— Timekit: Time Series Forecast Applications Using Data Mining
— How to manage time-series data with InfluxCLoud — IBM Cloud Blog
— Timeseries
— How to Convert a Time Series to a Supervised Learning Problem in Python — Machine Learning Mastery
15- How to Use Weight Regularization with LSTM networks for Time Series Forecasting
— How to Use Dropout with LSTM Networks for Time Series Forecasting
— Exploratory Configuration of a Multilayer Perceptron Network for Time Series Forecasting 
— How to Prepare Univariate Time Series Data for Long Short-Term Memory Networks
— Multivariate Time Series Forecasting with LSTMs in Keras
— How to Get Good Results Fast with Deep Learning for Time Series Forecasting
— On the Suitability of Long Short-Term Memory Networks for Time Series Forecasting
— The Promise of Recurrent Neural Networks for Time Series Forecasting
— Stateful and Stateless LSTM for Time Series Forecasting with Python
— Instability of Online Learning of Stateful LSTM for Time Series Forecasting
— How to Use Features in LSTM Networks for Time Series Forecasting
— How to Use Timesteps in LSTM Networks for Time Series Forecasting
— How to Update LSTM Networks During Training for Time Series Forecasting 
— How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting
— How to Seed Skate for LSTMs for Time Series Forecasting in Python
— Time Series Forecasting with the Long Short-Term Memory Network in Python
— Multi-step Series Forecasting with Long Short-Term Memory Networks in Python
— Time Series Forecasting
— SageMaker: DeepAR algorithm for more accurate time series forecasting
— Why Build a Time Series Data Platform?
— InfluxDB vs. Elasticsearch for Time Series Data & Metrics Benchmark
— R Course: Introduction to Time Series Analysis
— CB4 | Blog — Time Series Forecasting Challenges for Retail
— Optimizing k-means Clustering for Time Series Data — New Relic Blog
-TensorFlow for R
— Engagement to Prediction — Detecting Attrition with Time Series
— When Boring is Awesome: Building a scalable time-series database on PostgreSQL
— Time Series Graphs & Eleven Stunning Ways You Can Use Them
— DeepSense: a unified deep learning framework for time-series mobile sensing data processing
— Dynamic Time Warping
— Time Series Forecasting with Python 7 — Day Mini-Course 
- 4 Strategies for Multi-Step Time Series Forecasting
- 10 Challenging Machine Learning Time Series Forecasting Problems
— How to Difference a Time Series Dataset with Python
— How to Decompose Time Series Data into Trend and Seasonality
— Finding Surprising Patterns in Time Series Data

SUMMARYIn all, the time series blogs that are included focus on numerous ways to analyze and use the data. Many discuss predicting behaviors over time, as well as key learnings you can gain throughout the process. 

Wonder

Build a list of recent blog posts in computer science that deal with time series data. Please build a simple spreadsheet that has for each source the title, type (blog post), summary, and link. Please aim for about 50 blog posts (volume is more im...

Delivered January 11th, 2018. Contributors: Megan L. and 2 others

Build a list of recent blog posts in computer science that deal with time series data. Please build a simple spreadsheet that has for each source the title, type (blog post), summary, and link. Please aim for about 50 blog posts (volume is more important than quality)

TIME SERIES BLOGS INCLUDED IN REQUESTED SPREADSHEET

SUMMARY

Introduction to Time Series

A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)

Azure Microsoft

Time Series, Annotations, and Anomalies with Kibana

Elastic Blog

Kibana's New Time Series Visual Builder - Part 2

Tidy Time Series Analysis, Part 1

Tidy Time Series Analysis, Part 2: Rolling Functions

Tidy Time Series Analysis, Part 3: The Rolling Correlation

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

timekit: Time Series Forecast Applications Using Data Mining

How to manage time-series data with InfluxCloud - IBM Cloud Blog

Timeseries

How to Convert a Time Series to a Supervised Learning Problem in Python - Machine Learning Mastery

How to Use Weight Regularization with LSTM Networks for Time Series Forecasting - Machine Learning Mastery

How to Use Dropout with LSTM Networks for Time Series Forecasting - Machine Learning Mastery

Exploratory Configuration of a Multilayer Perceptron Network for Time Series Forecasting - Machine Learning Mastery

How to Prepare Univariate Time Series Data for Long Short-Term Memory Networks - Machine Learning Mastery

Multivariate Time Series Forecasting with LSTMs in Keras

How to Get Good Results Fast with Deep Learning for Time Series Forecasting - Machine Learning Mastery

On the Suitability of Long Short-Term Memory Networks for Time Series Forecasting - Machine Learning Mastery

The Promise of Recurrent Neural Networks for Time Series Forecasting - Machine Learning Mastery

Stateful and Stateless LSTM for Time Series Forecasting with Python - Machine Learning Mastery

Instability of Online Learning for Stateful LSTM for Time Series Forecasting - Machine Learning Mastery

How to Use Features in LSTM Networks for Time Series Forecasting - Machine Learning Mastery

How to Use Timesteps in LSTM Networks for Time Series Forecasting - Machine Learning Mastery

How to Update LSTM Networks During Training for Time Series Forecasting - Machine Learning Mastery

How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting - Machine Learning Mastery

How to Seed State for LSTMs for Time Series Forecasting in Python - Machine Learning Mastery

Time Series Forecasting with the Long Short-Term Memory Network in Python

Multi-step Time Series Forecasting with Long Short-Term Memory Networks in Python

Time Series Forecasting | SAP Blogs

Now available in Amazon SageMaker: DeepAR algorithm for more accurate time series forecasting | Amazon Web Services

Why Build a Time Series Data Platform? | InfluxData

InfluxDB vs Elasticsearch for Time Series Data & Metrics Benchmark

R Course: Introduction to Time Series Analysis

CB4 | Blog - Time Series Forecasting Challenges for Retail

Optimizing k-means Clustering for Time Series Data - New Relic Blog

TensorFlow for R

Engagement to Prediction – Detecting Attrition with Time Series

When Boring is Awesome: Building a scalable time-series database on PostgreSQL

Time Series Graphs & Eleven Stunning Ways You Can Use Them

DeepSense: a unified deep learning framework for time-series mobile sensing data processing

Dynamic Time Warping

Time Series Forecasting with Python 7-Day Mini-Course - Machine Learning Mastery

4 Strategies for Multi-Step Time Series Forecasting - Machine Learning Mastery

10 Challenging Machine Learning Time Series Forecasting Problems - Machine Learning Mastery

How to Difference a Time Series Dataset with Python - Machine Learning Mastery

How to Decompose Time Series Data into Trend and Seasonality - Machine Learning Mastery

Finding surprising patterns in a time series database in linear time and space

Time Series Archives - Machine Learning Mastery

Time Series Papers and Blogs

Delivered January 11th, 2018. Contributors: Megan L. and