Machine Learning success is often about picking the right machine learning algorithms. This often comes down to key ML algorithm decisions from your data science team.
Machine Learning success is often about picking the right machine learning algorithms. This often comes down to key ML algorithm decisions from your data science team.
Data Science vs Software Engineering Projects. Data projects are much more about discovery than scope.
Hadoop basics is an apache Hadoop tutorial for beginners on how to manage big data. See key concepts such as hdfs, hive and hbase.
The neural network chain rule works with backpropagation to help calculate the cost of the error in the gradient descent.
Data visualization is the graphical representation of data to make it easier to see larger patterns and trends. See what is data visualization and how it fits into storytelling.
The data analytics mindset gets the most from data-driven analysis. Good data analysis is more than just data collection.