Introduction to Data Science
Data Analysis and Prediction Algorithms with R
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts from probability, statistical inference, linear regression and machine learning and R programming skills. Throughout the book we demonstrate how these can help you tackle real-world data analysis challenges.
These two e-books, A Guide to Artificial Intelligence in Healthcare and The Technological Future of Medical Specialties aim to serve as guides on how to successfully cooperate with technologies and to make much of the tech-driven disruption we experience today and will likely encounter in the...
Learn how to design and implement types in C# so that the other developers won't hate you when using one of the types developed by you. It means you are going to learn how to write code of the high quality: readable, understandable and reliable.
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