Data Science Programming All-in-One For Dummies

Your complete guide to data science programming This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear and logistic regression, ensembles of learners, deep neural networks, recommenders, optimization and validation of models. However, it isn't all about using math to manipulate the data. You use the math to perform the very same machine learning and deep learning tasks that make doctors more efficient, reduce traffic accidents and solve business problems, as well as many other problems of daily life. Knowing the math also enables you to do things like analyze image and audio data, create graphics that allow others to understand the data, and even possibly become an artist. 6 Books Inside. * Defining Data Science * Interacting with Data Storage * Manipulating Data Using Basic Algorithms * Performing Advanced Data Manipulation * Performing Data-related Tasks * Diagnosing and Fixing Errors