Trivadis Navigator
Trivadis BlogStart
Leistungsangebot
Kompetenzen
Training
News & PR
Events
Über Trivadis
Login
Join
Sign in
Dynamic forecasts – with Bayesian linear models and neural networks (talk at Predictive Analytics World Berlin)
Options
Share this
Tags
Benchmarking
Client Programming
Data Science
Deep Learning
forecasting
Java
jdbc
Machine Learning
Natural Language Processing
neural networks
Optimizer
Oracle
Performance
Profiling
Python
R
sentiment analysis
SQL
Statistics
Swingbench
tensorflow
timeseries
Tracing
word vectors
word2vec
Home
»
Sigrid Keydana
»
Dynamic forecasts – with Bayesian linear models and neural networks (talk at Predictive Analytics World Berlin)
Sigrid Keydana
RSS for posts
Dynamic forecasts – with Bayesian linear models and neural networks (talk at Predictive Analytics World Berlin)
Rate This
Sigrid Keydana
Mi, Nov 15 2017 21:10
Comments
1
I really wish I had the time to write an article about the conference, instead of just posting the slides! Predictive Analytics World was super inspiring, not just in a technical way but also as to the broader picture of today’s data science / AI
...read more
1 Comments
Read the complete post at
recurrentnull.wordpress.com/.../dynamic-forecasts-with-bayesian-linear-models-and-neural-networks-talk
Statistics
,
R
,
Bayesian
,
Machine Learning
,
Data Science
,
neural networks
,
forecasting
,
Deep Learning
,
LSTM
,
Kalman Filter
,
time series
,
Dynamic Linear Models