Data Science Programming All-in-One For Dummies
(Author) John Paul MuellerYour logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!
John Paul Mueller
John Paul Mueller is a prolific author known for his technical books on programming and computer technology. His writing style is clear, concise, and accessible, making complex topics easy to understand for readers of all levels. Mueller's most notable works include "Python for Data Science For Dummies," "C++ All-in-One For Dummies," and "Machine Learning For Dummies." He has made significant contributions to the field of computer science and is highly regarded for his expertise in programming languages and data analysis. Mueller's work has had a lasting impact on the literary genre of technical books, and his books are widely used as essential resources for programmers and data scientists. His most famous work, "Python for Data Science For Dummies," has become a go-to guide for those looking to learn and master Python for data analysis and machine learning.
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