Other posts in this series: 1. Machine Learning at Tail Refinaria; 2. Easy access to training data for Machine Learning with Tail Refinaria; 3. Making feature engineering easier with Tail Refinaria; 4. Training and deploying a Machine Learning model with Tail Refinaria; 5. Using... View Article
Other posts in this series: 1. Machine Learning at Tail Refinaria; 2. Easy access to training data for Machine Learning with Tail Refinaria; 3. Making feature engineering easier with Tail Refinaria; 4. Training and deploying a Machine Learning model with Tail Refinaria; 5. Using... View Article
Other posts in this series: 1. Machine Learning at Tail Refinaria; 2. Easy access to training data for Machine Learning with Tail Refinaria; 3. Making feature engineering easier with Tail Refinaria; 4. Training and deploying a Machine Learning model with Tail Refinaria; 5. Using... View Article
Other posts in this series: 1. Machine Learning at Tail Refinaria; 2. Easy access to training data for Machine Learning with Tail Refinaria; 3. Making feature engineering easier with Tail Refinaria; 4. Training and deploying a Machine Learning model with Tail Refinaria; 5. Using... View Article
Other posts in this series: 1. Machine Learning at Tail Refinaria; 2. Easy access to training data for Machine Learning with Tail Refinaria; 3. Making feature engineering easier with Tail Refinaria; 4. Training and deploying a Machine Learning model with Tail Refinaria; 5. Using... View Article
Other posts in this series: 1. Machine Learning at Tail Refinaria; 2. Easy access to training data for Machine Learning with Tail Refinaria; 3. Making feature engineering easier with Tail Refinaria; 4. Training and deploying a Machine Learning model with Tail Refinaria; 5. Using... View Article
Since 80% of a Data Science project is data engineering (some say 90%), we at Tail spent the last year an a half working on a project to help solve this problem so we could focus on the 20% where... View Article
Apache Spark is an engine that allows process big datasets using distributed machines. We can apply several operations to a dataset, like: filters, transformations, aggregations, machine learning algorithms, and data visualization. All these operations are used to generate data insights.... View Article