Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python

The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization’s leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.

This book offers a learning system that pushes the envelope of what is possible in technology, and what is helpful in teaching. Although students are more comfortable with the digital environment than ever, their knowledge of the devices they use every day is still limited. The authors focus on tasks that students can accomplish with their devices, and skills they can apply immediately in the workplace, the classroom, and at home. This book fits the way students are learning today.