Prediction uncertainty increased with each passing month, which was also an expected result. The summer of 2014–2015 was especially dry (Table 3), so forage quality in the post-growth period was particularly poor. As noted above, the winter of 2016 was atypical, so the forecasts and ...
The long-term signal is represented as a 30-year loess filter of the NDJF seasonal mean for observations (dark red; the dashed line includes data to the 2019/20 season, the solid line includes data to 2015/16 season) and LDsss prediction (black). The observed 1960−1990 mean +2σ ...
This range of river systems is representative of the types of river systems that are seen globally, with the exception of significant snow melt systems. We use multivariate prediction of individual daily indicators to explore which major facets of the daily flow regime are retained in monthly data...
(VBA), SQL, C++, Python 3, Snowflake Frameworks Angular, Hadoop, Spark, Yarn, Flutter, React Native, Redux, Phoenix, TOGAF, Apache Spark Paradigms ETL, OLAP, System Advisor Model (SAM) Platforms Firebase, Amazon Web Services (AWS), Azure, RStudio, Apache Kafka, Hortonworks Data Platform ...
We woke up to beautiful birdsong and a rainbow, and when the clouds high up in the mountains started to clear, we could see fresh snow sprinkled on the peaks. It was the boost to the spirits that I needed. Riding into Makarora the previous day had been long and quite hard and we kn...
Whether it’s right or wrong, a “backpropagation” algorithm adjusts the parameters—that is, the formulas’ coefficients—in each cell of the stack that made that prediction. The goal of the adjustments is to make the correct prediction more probable. “It does this for right answers, too...