This in progress book is an accumulation of notes, graphics, code, and images with text to explain various major concepts within data science today. Included are tutorial material intended to be used with lectures given by authors. Contributors and code acknowledgement is credited as best as possible.
This book is an accumulation of notes, graphics, code, and images with text to explain various major concepts within data science today. Included are tutorial material intended to be used with lectures given by authors. Contributors and code acknowledgement is credited as best as possible.
Data Science is a popular new field. Sometimes it best separates itself as a science separate from Business Intelligence and Statistical Analytics by including these fields plus incorporating Machine Learning. Machine Learning is a branch of Artificial Intelligence and as applied to business is most often today recognized with algorithms associated with what's known as Neural Network and when magnified into deeper layers often called "Deep Learning".
This book hopes to capture many aspects of Data Science today and be a useful guide and reference for those practicioners learning and sharing their growth in knowledge in this exciting new field.