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 SPREADSHEET

2- A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)
4 - Time Series, Annotations, and Anomalies with Kibana
6 — Kibana's New Times Series Visual Builder — Part 2
7 — Tidy Time Series Analysis, Part 1
8 — Tidy Time Series Analysis, Part 2: Rolling Functions
9 — Tidy Time Series Analysis, Part 3: The Rolling Correlation
10 — Tidy Time Series Analysis, Part 4: Lags and Autocorrelation
11 — Timekit: Time Series Forecast Applications Using Data Mining
12 — How to manage time-series data with InfluxCLoud — IBM Cloud Blog
13 — Timeseries
14 — 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
16 — How to Use Dropout with LSTM Networks for Time Series Forecasting
17 — Exploratory Configuration of a Multilayer Perceptron Network for Time Series Forecasting
18 — How to Prepare Univariate Time Series Data for Long Short-Term Memory Networks
19 — Multivariate Time Series Forecasting with LSTMs in Keras
20 — How to Get Good Results Fast with Deep Learning for Time Series Forecasting
21 — On the Suitability of Long Short-Term Memory Networks for Time Series Forecasting
22 — The Promise of Recurrent Neural Networks for Time Series Forecasting
23 — Stateful and Stateless LSTM for Time Series Forecasting with Python
24 — Instability of Online Learning of Stateful LSTM for Time Series Forecasting
25 — How to Use Features in LSTM Networks for Time Series Forecasting
26 — How to Use Timesteps in LSTM Networks for Time Series Forecasting
27 — How to Update LSTM Networks During Training for Time Series Forecasting
28 — How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting
29 — How to Seed Skate for LSTMs for Time Series Forecasting in Python
30 — Time Series Forecasting with the Long Short-Term Memory Network in Python
31 — Multi-step Series Forecasting with Long Short-Term Memory Networks in Python
33 — SageMaker: DeepAR algorithm for more accurate time series forecasting
34 — Why Build a Time Series Data Platform?
35 — InfluxDB vs. Elasticsearch for Time Series Data & Metrics Benchmark
36 — R Course: Introduction to Time Series Analysis
37 — CB4 | Blog — Time Series Forecasting Challenges for Retail
38 — Optimizing k-means Clustering for Time Series Data — New Relic Blog
40 — Engagement to Prediction — Detecting Attrition with Time Series
41 — When Boring is Awesome: Building a scalable time-series database on PostgreSQL
42 — Time Series Graphs & Eleven Stunning Ways You Can Use Them
43 — DeepSense: a unified deep learning framework for time-series mobile sensing data processing
45 — Time Series Forecasting with Python 7 — Day Mini-Course
46 - 4 Strategies for Multi-Step Time Series Forecasting
47 - 10 Challenging Machine Learning Time Series Forecasting Problems
48 — How to Difference a Time Series Dataset with Python
49 — How to Decompose Time Series Data into Trend and Seasonality
50 — Finding Surprising Patterns in Time Series Data

SUMMARY

In 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.
Sources
Sources