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Free Data Science, Analytics, Machine Learning and IoT Books


All | (Big) Data Analytics | Algorithms | Artificial Intelligence | Bayesian Networks | Business & Strategy | Computer Vision | Data Journalism | Data Mining | Data Scientists | Data Structures | Data Visualization | General Data Science | Hadoop, MapReduce | Information Retrieval | Linear Regression | Linguistic | Machine Learning, Predictive Analytics | Math | Metadata | Natural Language Processing | Network Science | Other Sites with Free Data Science Resources | Probability | Python | R | Singularity/Transhumanism | Statistics | Text Mining

A First Course in Linear Algebra.
Elementary Differential Equations.
Linear Algebra.
Linear Algebra. This book attempts to build students up to the point where they have a grasp of the clear and precise nature of mathematics
Elementary Applied Topology.
Ordinary Differential Equations.
Mathematics for Computer Science. Mathematical models and methods to analyze problems that arise in computer science
Foundation of Data Science. The book focuses on the mathematical foundations rather than dwell on particular applications that are only briefly described

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